Overview

Dataset statistics

Number of variables217
Number of observations2000
Missing cells0
Missing cells (%)0.0%
Total size in memory3.3 MiB
Average record size in memory1.7 KiB

Variable types

Numeric217

Alerts

feature_6 has 40 (2.0%) zerosZeros
feature_8 has 23 (1.1%) zerosZeros
feature_32 has 25 (1.2%) zerosZeros
feature_33 has 35 (1.8%) zerosZeros
feature_34 has 49 (2.5%) zerosZeros
feature_35 has 77 (3.9%) zerosZeros
feature_44 has 26 (1.3%) zerosZeros
feature_45 has 63 (3.1%) zerosZeros
feature_46 has 82 (4.1%) zerosZeros
feature_47 has 91 (4.5%) zerosZeros
feature_54 has 25 (1.2%) zerosZeros
feature_56 has 25 (1.2%) zerosZeros
feature_57 has 44 (2.2%) zerosZeros
feature_58 has 51 (2.5%) zerosZeros
feature_66 has 45 (2.2%) zerosZeros
feature_69 has 25 (1.2%) zerosZeros
feature_71 has 89 (4.5%) zerosZeros
feature_80 has 30 (1.5%) zerosZeros
feature_81 has 58 (2.9%) zerosZeros
feature_83 has 35 (1.8%) zerosZeros
feature_105 has 107 (5.3%) zerosZeros
feature_106 has 36 (1.8%) zerosZeros
feature_114 has 25 (1.2%) zerosZeros
feature_118 has 72 (3.6%) zerosZeros
feature_119 has 160 (8.0%) zerosZeros
feature_126 has 32 (1.6%) zerosZeros
feature_131 has 31 (1.6%) zerosZeros
feature_143 has 128 (6.4%) zerosZeros
feature_153 has 86 (4.3%) zerosZeros
feature_165 has 60 (3.0%) zerosZeros
feature_166 has 49 (2.5%) zerosZeros
feature_176 has 24 (1.2%) zerosZeros
feature_178 has 49 (2.5%) zerosZeros
feature_179 has 55 (2.8%) zerosZeros
feature_186 has 32 (1.6%) zerosZeros
feature_191 has 102 (5.1%) zerosZeros
feature_201 has 41 (2.1%) zerosZeros
feature_label has 200 (10.0%) zerosZeros

Reproduction

Analysis started2023-11-04 21:16:14.979332
Analysis finished2023-11-04 21:16:16.497585
Duration1.52 second
Software versionydata-profiling vv4.6.1
Download configurationconfig.json

Variables

feature_0
Real number (ℝ)

Distinct390
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.0515
Minimum67
Maximum515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:17.175588image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile114
Q1208
median274.5
Q3338
95-th percentile421
Maximum515
Range448
Interquartile range (IQR)130

Descriptive statistics

Standard deviation91.27545372
Coefficient of variation (CV)0.3355079965
Kurtosis-0.6347610899
Mean272.0515
Median Absolute Deviation (MAD)64.5
Skewness-0.07914896532
Sum544103
Variance8331.208452
MonotonicityNot monotonic
2023-11-04T18:16:17.793370image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257 17
 
0.9%
274 16
 
0.8%
287 14
 
0.7%
309 14
 
0.7%
339 13
 
0.7%
262 13
 
0.7%
273 13
 
0.7%
235 13
 
0.7%
243 13
 
0.7%
308 12
 
0.6%
Other values (380) 1862
93.1%
ValueCountFrequency (%)
67 1
0.1%
70 1
0.1%
71 1
0.1%
72 1
0.1%
75 1
0.1%
ValueCountFrequency (%)
515 1
0.1%
513 1
0.1%
495 1
0.1%
491 1
0.1%
481 1
0.1%

feature_1
Real number (ℝ)

Distinct446
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean322.7255
Minimum81
Maximum565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:18.114433image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile138
Q1247
median324
Q3406
95-th percentile494
Maximum565
Range484
Interquartile range (IQR)159

Descriptive statistics

Standard deviation109.4265884
Coefficient of variation (CV)0.3390701644
Kurtosis-0.8110026049
Mean322.7255
Median Absolute Deviation (MAD)80
Skewness-0.1122757406
Sum645451
Variance11974.17824
MonotonicityNot monotonic
2023-11-04T18:16:18.455939image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
363 16
 
0.8%
322 15
 
0.8%
380 13
 
0.7%
292 12
 
0.6%
372 12
 
0.6%
387 11
 
0.5%
266 11
 
0.5%
287 11
 
0.5%
379 11
 
0.5%
308 11
 
0.5%
Other values (436) 1877
93.8%
ValueCountFrequency (%)
81 1
0.1%
82 1
0.1%
86 1
0.1%
89 1
0.1%
91 1
0.1%
ValueCountFrequency (%)
565 1
0.1%
564 1
0.1%
559 1
0.1%
557 1
0.1%
554 2
0.1%

feature_2
Real number (ℝ)

Distinct541
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean774.8245
Minimum500
Maximum1264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:18.779334image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile574
Q1656.75
median766
Q3879
95-th percentile1011.05
Maximum1264
Range764
Interquartile range (IQR)222.25

Descriptive statistics

Standard deviation140.1415696
Coefficient of variation (CV)0.1808687898
Kurtosis-0.5472612772
Mean774.8245
Median Absolute Deviation (MAD)111
Skewness0.3560506834
Sum1549649
Variance19639.65953
MonotonicityNot monotonic
2023-11-04T18:16:19.126525image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
855 13
 
0.7%
762 11
 
0.5%
628 11
 
0.5%
645 10
 
0.5%
721 10
 
0.5%
902 10
 
0.5%
598 10
 
0.5%
641 10
 
0.5%
853 10
 
0.5%
614 9
 
0.4%
Other values (531) 1896
94.8%
ValueCountFrequency (%)
500 1
0.1%
506 1
0.1%
511 1
0.1%
515 2
0.1%
520 1
0.1%
ValueCountFrequency (%)
1264 1
0.1%
1221 1
0.1%
1204 1
0.1%
1201 1
0.1%
1194 1
0.1%

feature_3
Real number (ℝ)

Distinct440
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean754.339
Minimum543
Maximum1134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:19.459698image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum543
5-th percentile605
Q1667
median736
Q3830
95-th percentile952
Maximum1134
Range591
Interquartile range (IQR)163

Descriptive statistics

Standard deviation109.1737676
Coefficient of variation (CV)0.1447277253
Kurtosis-0.4423764248
Mean754.339
Median Absolute Deviation (MAD)80
Skewness0.500027228
Sum1508678
Variance11918.91153
MonotonicityNot monotonic
2023-11-04T18:16:19.776284image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
653 16
 
0.8%
700 15
 
0.8%
727 14
 
0.7%
765 14
 
0.7%
736 13
 
0.7%
701 13
 
0.7%
647 12
 
0.6%
643 12
 
0.6%
713 11
 
0.5%
679 11
 
0.5%
Other values (430) 1869
93.5%
ValueCountFrequency (%)
543 1
 
0.1%
545 1
 
0.1%
555 1
 
0.1%
557 1
 
0.1%
558 4
0.2%
ValueCountFrequency (%)
1134 1
0.1%
1103 1
0.1%
1099 1
0.1%
1078 1
0.1%
1073 1
0.1%

feature_4
Real number (ℝ)

Distinct252
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean640.4605
Minimum437
Maximum823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:20.120403image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum437
5-th percentile570
Q1607
median636.5
Q3667
95-th percentile730
Maximum823
Range386
Interquartile range (IQR)60

Descriptive statistics

Standard deviation48.94011654
Coefficient of variation (CV)0.07641394987
Kurtosis0.8963568177
Mean640.4605
Median Absolute Deviation (MAD)29.5
Skewness0.5778602885
Sum1280921
Variance2395.135007
MonotonicityNot monotonic
2023-11-04T18:16:20.491695image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
652 26
 
1.3%
632 24
 
1.2%
637 24
 
1.2%
622 23
 
1.1%
654 22
 
1.1%
676 22
 
1.1%
614 22
 
1.1%
640 21
 
1.1%
638 21
 
1.1%
626 21
 
1.1%
Other values (242) 1774
88.7%
ValueCountFrequency (%)
437 1
0.1%
464 1
0.1%
480 1
0.1%
492 1
0.1%
526 1
0.1%
ValueCountFrequency (%)
823 1
0.1%
819 1
0.1%
814 1
0.1%
811 2
0.1%
807 1
0.1%

feature_5
Real number (ℝ)

Distinct419
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean684.472
Minimum439
Maximum1047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:20.831211image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum439
5-th percentile545
Q1642
median676
Q3716
95-th percentile860.05
Maximum1047
Range608
Interquartile range (IQR)74

Descriptive statistics

Standard deviation85.07886002
Coefficient of variation (CV)0.124298525
Kurtosis1.543515586
Mean684.472
Median Absolute Deviation (MAD)37
Skewness0.6762096153
Sum1368944
Variance7238.412422
MonotonicityNot monotonic
2023-11-04T18:16:21.157549image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
682 28
 
1.4%
673 26
 
1.3%
667 20
 
1.0%
656 20
 
1.0%
681 20
 
1.0%
657 20
 
1.0%
684 19
 
0.9%
658 19
 
0.9%
700 18
 
0.9%
683 18
 
0.9%
Other values (409) 1792
89.6%
ValueCountFrequency (%)
439 1
0.1%
454 1
0.1%
459 1
0.1%
461 1
0.1%
467 1
0.1%
ValueCountFrequency (%)
1047 1
0.1%
1012 1
0.1%
1006 1
0.1%
986 1
0.1%
983 1
0.1%

feature_6
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.45
Minimum0
Maximum42
Zeros40
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:21.337923image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median20
Q329
95-th percentile37
Maximum42
Range42
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.35156064
Coefficient of variation (CV)0.5836277964
Kurtosis-1.131625754
Mean19.45
Median Absolute Deviation (MAD)9
Skewness-0.1112491061
Sum38900
Variance128.857929
MonotonicityNot monotonic
2023-11-04T18:16:21.469148image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2 89
 
4.5%
24 75
 
3.8%
36 73
 
3.6%
28 69
 
3.5%
1 66
 
3.3%
3 65
 
3.2%
20 65
 
3.2%
27 63
 
3.1%
23 59
 
2.9%
25 57
 
2.9%
Other values (33) 1319
66.0%
ValueCountFrequency (%)
0 40
2.0%
1 66
3.3%
2 89
4.5%
3 65
3.2%
4 50
2.5%
ValueCountFrequency (%)
42 1
 
0.1%
41 1
 
0.1%
40 8
 
0.4%
39 8
 
0.4%
38 38
1.9%

feature_7
Real number (ℝ)

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.373
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:21.584771image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q113
median18
Q324
95-th percentile31
Maximum39
Range38
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.351795389
Coefficient of variation (CV)0.4001412611
Kurtosis-0.6180818613
Mean18.373
Median Absolute Deviation (MAD)5
Skewness0.1266951235
Sum36746
Variance54.04889545
MonotonicityNot monotonic
2023-11-04T18:16:21.775961image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
15 134
 
6.7%
17 121
 
6.0%
19 115
 
5.8%
16 111
 
5.5%
14 110
 
5.5%
13 91
 
4.5%
20 88
 
4.4%
18 86
 
4.3%
21 85
 
4.2%
29 81
 
4.0%
Other values (29) 978
48.9%
ValueCountFrequency (%)
1 1
 
0.1%
2 4
 
0.2%
3 18
0.9%
4 13
0.7%
5 27
1.4%
ValueCountFrequency (%)
39 1
 
0.1%
38 2
0.1%
37 1
 
0.1%
36 3
0.1%
35 4
0.2%

feature_8
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.359
Minimum0
Maximum39
Zeros23
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:21.893438image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median15
Q322
95-th percentile31
Maximum39
Range39
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.887216117
Coefficient of variation (CV)0.5786324706
Kurtosis-0.7398919702
Mean15.359
Median Absolute Deviation (MAD)7
Skewness0.2381253341
Sum30718
Variance78.98261031
MonotonicityNot monotonic
2023-11-04T18:16:22.011902image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20 87
 
4.3%
14 85
 
4.2%
9 85
 
4.2%
7 84
 
4.2%
17 80
 
4.0%
19 77
 
3.9%
15 77
 
3.9%
16 77
 
3.9%
3 76
 
3.8%
22 75
 
3.8%
Other values (30) 1197
59.9%
ValueCountFrequency (%)
0 23
 
1.1%
1 60
3.0%
2 64
3.2%
3 76
3.8%
4 41
2.1%
ValueCountFrequency (%)
39 1
 
0.1%
38 2
 
0.1%
37 5
0.2%
36 4
0.2%
35 9
0.4%

feature_9
Real number (ℝ)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.054
Minimum0
Maximum17
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:22.114581image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.084412468
Coefficient of variation (CV)0.4511169062
Kurtosis-0.9843901956
Mean9.054
Median Absolute Deviation (MAD)3
Skewness-0.1765742586
Sum18108
Variance16.68242521
MonotonicityNot monotonic
2023-11-04T18:16:22.212568image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11 247
12.3%
10 229
11.5%
12 177
 
8.8%
4 152
 
7.6%
3 134
 
6.7%
5 133
 
6.7%
9 133
 
6.7%
13 124
 
6.2%
14 116
 
5.8%
6 101
 
5.1%
Other values (8) 454
22.7%
ValueCountFrequency (%)
0 6
 
0.3%
1 28
 
1.4%
2 67
3.4%
3 134
6.7%
4 152
7.6%
ValueCountFrequency (%)
17 18
 
0.9%
16 73
3.6%
15 90
4.5%
14 116
5.8%
13 124
6.2%

feature_10
Real number (ℝ)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4295
Minimum0
Maximum18
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:22.375512image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median10
Q312
95-th percentile16
Maximum18
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.975164238
Coefficient of variation (CV)0.4215668103
Kurtosis-0.6212411805
Mean9.4295
Median Absolute Deviation (MAD)3
Skewness-0.280660629
Sum18859
Variance15.80193072
MonotonicityNot monotonic
2023-11-04T18:16:22.582944image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 253
12.7%
9 224
11.2%
11 220
11.0%
8 150
 
7.5%
13 145
 
7.2%
12 144
 
7.2%
3 125
 
6.2%
14 117
 
5.9%
15 97
 
4.9%
5 89
 
4.5%
Other values (9) 436
21.8%
ValueCountFrequency (%)
0 4
 
0.2%
1 33
 
1.7%
2 73
3.6%
3 125
6.2%
4 71
3.5%
ValueCountFrequency (%)
18 7
 
0.4%
17 29
 
1.5%
16 71
3.5%
15 97
4.9%
14 117
5.9%

feature_11
Real number (ℝ)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4465
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:22.771002image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median10
Q312
95-th percentile15
Maximum18
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.829029705
Coefficient of variation (CV)0.405338454
Kurtosis-0.5552679814
Mean9.4465
Median Absolute Deviation (MAD)2
Skewness-0.2513732643
Sum18893
Variance14.66146848
MonotonicityNot monotonic
2023-11-04T18:16:22.954240image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11 294
14.7%
10 247
12.3%
12 204
10.2%
9 188
9.4%
13 132
 
6.6%
5 130
 
6.5%
8 126
 
6.3%
4 117
 
5.9%
14 100
 
5.0%
3 94
 
4.7%
Other values (8) 368
18.4%
ValueCountFrequency (%)
1 22
 
1.1%
2 60
3.0%
3 94
4.7%
4 117
5.9%
5 130
6.5%
ValueCountFrequency (%)
18 14
 
0.7%
17 44
2.2%
16 39
 
1.9%
15 63
3.1%
14 100
5.0%

feature_12
Real number (ℝ)

Distinct336
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.4065
Minimum94
Maximum494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:23.163732image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum94
5-th percentile168
Q1225
median291.5
Q3356
95-th percentile415
Maximum494
Range400
Interquartile range (IQR)131

Descriptive statistics

Standard deviation79.09785391
Coefficient of variation (CV)0.2714347618
Kurtosis-0.9163806612
Mean291.4065
Median Absolute Deviation (MAD)65.5
Skewness0.0246351502
Sum582813
Variance6256.470493
MonotonicityNot monotonic
2023-11-04T18:16:23.389213image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342 20
 
1.0%
223 19
 
0.9%
320 15
 
0.8%
238 13
 
0.7%
184 13
 
0.7%
364 13
 
0.7%
326 13
 
0.7%
260 13
 
0.7%
339 13
 
0.7%
340 12
 
0.6%
Other values (326) 1856
92.8%
ValueCountFrequency (%)
94 1
0.1%
100 1
0.1%
104 1
0.1%
116 1
0.1%
117 1
0.1%
ValueCountFrequency (%)
494 1
0.1%
492 1
0.1%
473 1
0.1%
471 1
0.1%
468 1
0.1%

feature_13
Real number (ℝ)

Distinct420
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313.0605
Minimum96
Maximum648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:23.603378image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile171
Q1243
median307
Q3374
95-th percentile481.05
Maximum648
Range552
Interquartile range (IQR)131

Descriptive statistics

Standard deviation95.38429075
Coefficient of variation (CV)0.3046832505
Kurtosis-0.08477603922
Mean313.0605
Median Absolute Deviation (MAD)66
Skewness0.4147542888
Sum626121
Variance9098.162921
MonotonicityNot monotonic
2023-11-04T18:16:23.728254image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250 18
 
0.9%
248 15
 
0.8%
337 14
 
0.7%
294 14
 
0.7%
348 14
 
0.7%
220 13
 
0.7%
346 12
 
0.6%
251 12
 
0.6%
301 12
 
0.6%
269 12
 
0.6%
Other values (410) 1864
93.2%
ValueCountFrequency (%)
96 1
0.1%
99 1
0.1%
104 1
0.1%
105 1
0.1%
111 1
0.1%
ValueCountFrequency (%)
648 1
0.1%
626 1
0.1%
620 1
0.1%
613 1
0.1%
612 2
0.1%

feature_14
Real number (ℝ)

Distinct421
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean654.2195
Minimum422
Maximum1060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:23.845776image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum422
5-th percentile512
Q1584
median649
Q3712
95-th percentile825.05
Maximum1060
Range638
Interquartile range (IQR)128

Descriptive statistics

Standard deviation96.33885461
Coefficient of variation (CV)0.1472576935
Kurtosis0.3474113568
Mean654.2195
Median Absolute Deviation (MAD)64
Skewness0.5652017993
Sum1308439
Variance9281.174907
MonotonicityNot monotonic
2023-11-04T18:16:24.109934image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
679 16
 
0.8%
622 15
 
0.8%
651 14
 
0.7%
656 14
 
0.7%
635 14
 
0.7%
632 14
 
0.7%
628 13
 
0.7%
559 13
 
0.7%
705 13
 
0.7%
602 13
 
0.7%
Other values (411) 1861
93.0%
ValueCountFrequency (%)
422 1
0.1%
428 1
0.1%
454 1
0.1%
455 1
0.1%
456 1
0.1%
ValueCountFrequency (%)
1060 1
0.1%
1034 1
0.1%
1016 1
0.1%
1013 1
0.1%
1006 1
0.1%

feature_15
Real number (ℝ)

Distinct351
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671.949
Minimum527
Maximum987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:24.300569image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum527
5-th percentile568.95
Q1610
median652
Q3723
95-th percentile831
Maximum987
Range460
Interquartile range (IQR)113

Descriptive statistics

Standard deviation81.93596982
Coefficient of variation (CV)0.1219377807
Kurtosis0.1541791891
Mean671.949
Median Absolute Deviation (MAD)51
Skewness0.8356626585
Sum1343898
Variance6713.503151
MonotonicityNot monotonic
2023-11-04T18:16:24.545416image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
637 23
 
1.1%
629 19
 
0.9%
648 18
 
0.9%
601 17
 
0.9%
593 17
 
0.9%
624 16
 
0.8%
652 16
 
0.8%
625 16
 
0.8%
651 16
 
0.8%
626 16
 
0.8%
Other values (341) 1826
91.3%
ValueCountFrequency (%)
527 2
0.1%
531 1
0.1%
534 1
0.1%
536 1
0.1%
537 1
0.1%
ValueCountFrequency (%)
987 1
0.1%
952 1
0.1%
950 1
0.1%
942 2
0.1%
938 1
0.1%

feature_16
Real number (ℝ)

Distinct257
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean658.4005
Minimum429
Maximum842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:24.894974image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum429
5-th percentile581
Q1625.75
median660
Q3690
95-th percentile735
Maximum842
Range413
Interquartile range (IQR)64.25

Descriptive statistics

Standard deviation48.65800963
Coefficient of variation (CV)0.07390336068
Kurtosis0.7666328888
Mean658.4005
Median Absolute Deviation (MAD)32
Skewness-0.04438129089
Sum1316801
Variance2367.601901
MonotonicityNot monotonic
2023-11-04T18:16:25.063659image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
669 28
 
1.4%
661 26
 
1.3%
677 25
 
1.2%
629 24
 
1.2%
664 23
 
1.1%
663 23
 
1.1%
672 23
 
1.1%
607 23
 
1.1%
625 21
 
1.1%
682 21
 
1.1%
Other values (247) 1763
88.1%
ValueCountFrequency (%)
429 1
0.1%
461 1
0.1%
475 1
0.1%
483 1
0.1%
488 1
0.1%
ValueCountFrequency (%)
842 1
0.1%
833 1
0.1%
832 1
0.1%
827 1
0.1%
810 1
0.1%

feature_17
Real number (ℝ)

Distinct405
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.475
Minimum587
Maximum1146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:25.213952image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum587
5-th percentile745.95
Q1877
median968
Q31019
95-th percentile1065
Maximum1146
Range559
Interquartile range (IQR)142

Descriptive statistics

Standard deviation99.90084316
Coefficient of variation (CV)0.1061109888
Kurtosis-0.0821173824
Mean941.475
Median Absolute Deviation (MAD)62
Skewness-0.811859522
Sum1882950
Variance9980.178464
MonotonicityNot monotonic
2023-11-04T18:16:25.391427image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003 20
 
1.0%
995 18
 
0.9%
1036 16
 
0.8%
1027 15
 
0.8%
993 15
 
0.8%
1014 15
 
0.8%
991 15
 
0.8%
1021 15
 
0.8%
1024 14
 
0.7%
1042 14
 
0.7%
Other values (395) 1843
92.2%
ValueCountFrequency (%)
587 1
0.1%
588 1
0.1%
631 1
0.1%
641 2
0.1%
644 1
0.1%
ValueCountFrequency (%)
1146 1
0.1%
1117 1
0.1%
1101 1
0.1%
1096 2
0.1%
1094 1
0.1%

feature_18
Real number (ℝ)

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.862
Minimum0
Maximum41
Zeros20
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:25.558841image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median18
Q326
95-th percentile33
Maximum41
Range41
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.15522133
Coefficient of variation (CV)0.5685377522
Kurtosis-1.025614597
Mean17.862
Median Absolute Deviation (MAD)8
Skewness0.008719796666
Sum35724
Variance103.1285203
MonotonicityNot monotonic
2023-11-04T18:16:25.686208image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
19 97
 
4.9%
31 81
 
4.0%
23 81
 
4.0%
20 78
 
3.9%
3 75
 
3.8%
17 71
 
3.5%
7 68
 
3.4%
16 68
 
3.4%
15 66
 
3.3%
21 63
 
3.1%
Other values (32) 1252
62.6%
ValueCountFrequency (%)
0 20
 
1.0%
1 58
2.9%
2 51
2.5%
3 75
3.8%
4 50
2.5%
ValueCountFrequency (%)
41 2
 
0.1%
40 2
 
0.1%
39 10
0.5%
38 12
0.6%
37 9
0.4%

feature_19
Real number (ℝ)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.901
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:25.793767image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q119
median24
Q329
95-th percentile36
Maximum43
Range42
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.37769708
Coefficient of variation (CV)0.308677339
Kurtosis-0.4016697246
Mean23.901
Median Absolute Deviation (MAD)5
Skewness-0.09776387771
Sum47802
Variance54.43041421
MonotonicityNot monotonic
2023-11-04T18:16:25.903935image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
24 141
 
7.0%
23 118
 
5.9%
22 107
 
5.3%
21 100
 
5.0%
28 96
 
4.8%
25 95
 
4.8%
30 93
 
4.7%
20 92
 
4.6%
26 89
 
4.5%
29 83
 
4.2%
Other values (31) 986
49.3%
ValueCountFrequency (%)
1 2
 
0.1%
3 2
 
0.1%
5 1
 
0.1%
6 6
0.3%
7 8
0.4%
ValueCountFrequency (%)
43 1
 
0.1%
42 1
 
0.1%
41 9
0.4%
40 12
0.6%
39 15
0.8%

feature_20
Real number (ℝ)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.969
Minimum0
Maximum40
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:26.177270image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q116
median21
Q327
95-th percentile37
Maximum40
Range40
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.940564544
Coefficient of variation (CV)0.3614440596
Kurtosis-0.4674649846
Mean21.969
Median Absolute Deviation (MAD)5
Skewness0.2574720328
Sum43938
Variance63.05256528
MonotonicityNot monotonic
2023-11-04T18:16:26.458868image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
21 114
 
5.7%
23 105
 
5.2%
24 103
 
5.1%
22 100
 
5.0%
16 94
 
4.7%
18 93
 
4.7%
19 93
 
4.7%
17 88
 
4.4%
25 83
 
4.2%
15 81
 
4.0%
Other values (31) 1046
52.3%
ValueCountFrequency (%)
0 1
0.1%
1 2
0.1%
2 2
0.1%
3 2
0.1%
4 2
0.1%
ValueCountFrequency (%)
40 19
0.9%
39 25
1.2%
38 41
2.1%
37 25
1.2%
36 24
1.2%

feature_21
Real number (ℝ)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.378
Minimum0
Maximum24
Zeros11
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:26.774770image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q313
95-th percentile19
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.030583404
Coefficient of variation (CV)0.4847353444
Kurtosis-0.4459079812
Mean10.378
Median Absolute Deviation (MAD)3
Skewness-0.04430203212
Sum20756
Variance25.30676938
MonotonicityNot monotonic
2023-11-04T18:16:27.038867image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
12 253
12.7%
11 208
 
10.4%
13 202
 
10.1%
14 130
 
6.5%
10 123
 
6.2%
4 110
 
5.5%
3 102
 
5.1%
9 102
 
5.1%
2 87
 
4.3%
15 84
 
4.2%
Other values (15) 599
29.9%
ValueCountFrequency (%)
0 11
 
0.5%
1 55
2.8%
2 87
4.3%
3 102
5.1%
4 110
5.5%
ValueCountFrequency (%)
24 1
 
0.1%
23 7
 
0.4%
22 24
1.2%
21 27
1.4%
20 26
1.3%

feature_22
Real number (ℝ)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5885
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:27.367192image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median10
Q312
95-th percentile15
Maximum18
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.618109051
Coefficient of variation (CV)0.3773383794
Kurtosis-0.6989473143
Mean9.5885
Median Absolute Deviation (MAD)3
Skewness-0.2639400912
Sum19177
Variance13.09071311
MonotonicityNot monotonic
2023-11-04T18:16:27.656713image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9 232
11.6%
12 216
10.8%
11 200
10.0%
10 178
8.9%
13 173
8.6%
14 170
8.5%
8 155
7.8%
4 117
 
5.9%
7 117
 
5.9%
5 116
 
5.8%
Other values (8) 326
16.3%
ValueCountFrequency (%)
1 10
 
0.5%
2 28
 
1.4%
3 85
4.2%
4 117
5.9%
5 116
5.8%
ValueCountFrequency (%)
18 10
 
0.5%
17 11
 
0.5%
16 29
 
1.5%
15 79
4.0%
14 170
8.5%

feature_23
Real number (ℝ)

Distinct21
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.6345
Minimum0
Maximum20
Zeros5
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:27.969073image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median11
Q314
95-th percentile19
Maximum20
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.13248696
Coefficient of variation (CV)0.3551924844
Kurtosis-0.3050318253
Mean11.6345
Median Absolute Deviation (MAD)2
Skewness0.1600815308
Sum23269
Variance17.07744847
MonotonicityNot monotonic
2023-11-04T18:16:28.340195image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
11 258
12.9%
10 248
12.4%
12 216
10.8%
9 188
9.4%
13 137
 
6.9%
19 129
 
6.5%
8 127
 
6.3%
7 90
 
4.5%
17 82
 
4.1%
18 79
 
4.0%
Other values (11) 446
22.3%
ValueCountFrequency (%)
0 5
 
0.2%
1 7
 
0.4%
2 15
0.8%
3 20
1.0%
4 23
1.1%
ValueCountFrequency (%)
20 45
 
2.2%
19 129
6.5%
18 79
4.0%
17 82
4.1%
16 72
3.6%

feature_24
Real number (ℝ)

Distinct302
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281.4805
Minimum58
Maximum470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:28.643160image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile176
Q1243
median285
Q3325
95-th percentile375
Maximum470
Range412
Interquartile range (IQR)82

Descriptive statistics

Standard deviation60.66673591
Coefficient of variation (CV)0.2155273133
Kurtosis0.002271998545
Mean281.4805
Median Absolute Deviation (MAD)41
Skewness-0.2504436083
Sum562961
Variance3680.452846
MonotonicityNot monotonic
2023-11-04T18:16:28.971208image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
326 18
 
0.9%
327 18
 
0.9%
329 18
 
0.9%
288 18
 
0.9%
261 18
 
0.9%
319 17
 
0.9%
248 17
 
0.9%
247 17
 
0.9%
308 17
 
0.9%
268 16
 
0.8%
Other values (292) 1826
91.3%
ValueCountFrequency (%)
58 1
0.1%
82 1
0.1%
100 1
0.1%
102 1
0.1%
104 1
0.1%
ValueCountFrequency (%)
470 1
0.1%
466 1
0.1%
452 1
0.1%
444 1
0.1%
439 1
0.1%

feature_25
Real number (ℝ)

Distinct439
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.3315
Minimum84
Maximum603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:29.566688image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum84
5-th percentile135
Q1205
median277
Q3374
95-th percentile481.05
Maximum603
Range519
Interquartile range (IQR)169

Descriptive statistics

Standard deviation108.1693391
Coefficient of variation (CV)0.371292974
Kurtosis-0.7707074516
Mean291.3315
Median Absolute Deviation (MAD)82
Skewness0.3266190931
Sum582663
Variance11700.60591
MonotonicityNot monotonic
2023-11-04T18:16:29.902401image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
246 15
 
0.8%
234 14
 
0.7%
258 13
 
0.7%
228 12
 
0.6%
178 12
 
0.6%
269 12
 
0.6%
247 11
 
0.5%
294 11
 
0.5%
157 11
 
0.5%
265 11
 
0.5%
Other values (429) 1878
93.9%
ValueCountFrequency (%)
84 1
0.1%
85 1
0.1%
86 1
0.1%
88 1
0.1%
89 1
0.1%
ValueCountFrequency (%)
603 1
0.1%
574 1
0.1%
573 1
0.1%
566 1
0.1%
564 1
0.1%

feature_26
Real number (ℝ)

Distinct323
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean730.8535
Minimum574
Maximum1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:30.231879image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum574
5-th percentile637.95
Q1678.75
median715
Q3778.25
95-th percentile862
Maximum1024
Range450
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation71.47722389
Coefficient of variation (CV)0.0977996601
Kurtosis0.2164737445
Mean730.8535
Median Absolute Deviation (MAD)46
Skewness0.7504286339
Sum1461707
Variance5108.993535
MonotonicityNot monotonic
2023-11-04T18:16:30.605443image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
686 20
 
1.0%
663 20
 
1.0%
691 19
 
0.9%
659 19
 
0.9%
703 18
 
0.9%
685 18
 
0.9%
684 18
 
0.9%
700 17
 
0.9%
695 17
 
0.9%
680 17
 
0.9%
Other values (313) 1817
90.8%
ValueCountFrequency (%)
574 1
0.1%
582 1
0.1%
584 1
0.1%
587 1
0.1%
589 1
0.1%
ValueCountFrequency (%)
1024 1
0.1%
1001 1
0.1%
989 1
0.1%
977 1
0.1%
974 1
0.1%

feature_27
Real number (ℝ)

Distinct323
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean648.523
Minimum436
Maximum992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:30.791840image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum436
5-th percentile548
Q1594
median639
Q3695
95-th percentile779.05
Maximum992
Range556
Interquartile range (IQR)101

Descriptive statistics

Standard deviation72.18262004
Coefficient of variation (CV)0.1113030996
Kurtosis0.239900792
Mean648.523
Median Absolute Deviation (MAD)50
Skewness0.5912374314
Sum1297046
Variance5210.330636
MonotonicityNot monotonic
2023-11-04T18:16:30.955194image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
653 18
 
0.9%
586 18
 
0.9%
641 18
 
0.9%
656 17
 
0.9%
623 16
 
0.8%
619 16
 
0.8%
606 16
 
0.8%
624 16
 
0.8%
629 15
 
0.8%
579 15
 
0.8%
Other values (313) 1835
91.8%
ValueCountFrequency (%)
436 1
0.1%
482 1
0.1%
487 1
0.1%
489 1
0.1%
490 2
0.1%
ValueCountFrequency (%)
992 1
 
0.1%
906 1
 
0.1%
879 1
 
0.1%
877 1
 
0.1%
875 3
0.1%

feature_28
Real number (ℝ)

Distinct422
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean963.2675
Minimum634
Maximum1137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:31.088810image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum634
5-th percentile739
Q1903
median996
Q31047
95-th percentile1098
Maximum1137
Range503
Interquartile range (IQR)144

Descriptive statistics

Standard deviation112.4261747
Coefficient of variation (CV)0.1167133478
Kurtosis-0.3673581991
Mean963.2675
Median Absolute Deviation (MAD)64
Skewness-0.8325020194
Sum1926535
Variance12639.64477
MonotonicityNot monotonic
2023-11-04T18:16:31.209797image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1024 18
 
0.9%
1022 18
 
0.9%
1040 17
 
0.9%
1023 16
 
0.8%
988 16
 
0.8%
1013 15
 
0.8%
1032 15
 
0.8%
1054 14
 
0.7%
990 14
 
0.7%
1004 13
 
0.7%
Other values (412) 1844
92.2%
ValueCountFrequency (%)
634 1
0.1%
657 1
0.1%
669 1
0.1%
671 1
0.1%
673 1
0.1%
ValueCountFrequency (%)
1137 1
 
0.1%
1133 1
 
0.1%
1132 3
0.1%
1129 1
 
0.1%
1127 1
 
0.1%

feature_29
Real number (ℝ)

Distinct377
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean730.114
Minimum474
Maximum1003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:31.326400image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum474
5-th percentile590
Q1686
median738
Q3776
95-th percentile857
Maximum1003
Range529
Interquartile range (IQR)90

Descriptive statistics

Standard deviation77.22689299
Coefficient of variation (CV)0.1057737463
Kurtosis0.6102752967
Mean730.114
Median Absolute Deviation (MAD)42
Skewness-0.2940923563
Sum1460228
Variance5963.993001
MonotonicityNot monotonic
2023-11-04T18:16:31.450941image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
740 20
 
1.0%
763 19
 
0.9%
728 19
 
0.9%
750 18
 
0.9%
758 18
 
0.9%
735 17
 
0.9%
757 17
 
0.9%
755 17
 
0.9%
745 17
 
0.9%
784 17
 
0.9%
Other values (367) 1821
91.0%
ValueCountFrequency (%)
474 1
0.1%
478 1
0.1%
486 1
0.1%
493 1
0.1%
495 1
0.1%
ValueCountFrequency (%)
1003 1
0.1%
992 1
0.1%
974 1
0.1%
963 1
0.1%
949 1
0.1%

feature_30
Real number (ℝ)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.905
Minimum0
Maximum40
Zeros9
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:31.563779image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median22
Q329
95-th percentile37
Maximum40
Range40
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.159307914
Coefficient of variation (CV)0.4181377728
Kurtosis-0.5328570547
Mean21.905
Median Absolute Deviation (MAD)6
Skewness-0.1615702775
Sum43810
Variance83.89292146
MonotonicityNot monotonic
2023-11-04T18:16:31.681984image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
16 113
 
5.7%
15 92
 
4.6%
19 86
 
4.3%
22 86
 
4.3%
24 84
 
4.2%
23 83
 
4.2%
17 82
 
4.1%
20 76
 
3.8%
25 75
 
3.8%
18 75
 
3.8%
Other values (31) 1148
57.4%
ValueCountFrequency (%)
0 9
0.4%
1 18
0.9%
2 17
0.9%
3 19
0.9%
4 20
1.0%
ValueCountFrequency (%)
40 7
 
0.4%
39 26
1.3%
38 36
1.8%
37 38
1.9%
36 46
2.3%

feature_31
Real number (ℝ)

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.523
Minimum0
Maximum41
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:31.798510image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q117
median21
Q327
95-th percentile33
Maximum41
Range41
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.309321726
Coefficient of variation (CV)0.3396051538
Kurtosis-0.2164894276
Mean21.523
Median Absolute Deviation (MAD)5
Skewness-0.1142398811
Sum43046
Variance53.42618409
MonotonicityNot monotonic
2023-11-04T18:16:31.937853image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20 126
 
6.3%
18 122
 
6.1%
19 108
 
5.4%
22 103
 
5.1%
28 98
 
4.9%
21 96
 
4.8%
17 96
 
4.8%
26 95
 
4.8%
29 94
 
4.7%
27 83
 
4.2%
Other values (32) 979
48.9%
ValueCountFrequency (%)
0 2
 
0.1%
1 3
 
0.1%
2 2
 
0.1%
3 13
0.7%
4 9
0.4%
ValueCountFrequency (%)
41 2
 
0.1%
40 5
 
0.2%
39 6
 
0.3%
38 11
0.5%
37 15
0.8%

feature_32
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.814
Minimum0
Maximum43
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:32.400862image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median20
Q329
95-th percentile38
Maximum43
Range43
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.18355668
Coefficient of variation (CV)0.564427005
Kurtosis-1.055824262
Mean19.814
Median Absolute Deviation (MAD)9
Skewness0.02645232319
Sum39628
Variance125.07194
MonotonicityNot monotonic
2023-11-04T18:16:32.720230image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
24 84
 
4.2%
28 79
 
4.0%
11 71
 
3.5%
10 69
 
3.5%
12 62
 
3.1%
29 60
 
3.0%
22 59
 
2.9%
27 58
 
2.9%
30 57
 
2.9%
23 57
 
2.9%
Other values (34) 1344
67.2%
ValueCountFrequency (%)
0 25
1.2%
1 48
2.4%
2 52
2.6%
3 48
2.4%
4 39
1.9%
ValueCountFrequency (%)
43 2
 
0.1%
42 7
 
0.4%
41 21
1.1%
40 21
1.1%
39 37
1.8%

feature_33
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.522
Minimum0
Maximum20
Zeros35
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:32.963470image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q312
95-th percentile16
Maximum20
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.747608439
Coefficient of variation (CV)0.5571002628
Kurtosis-1.150875358
Mean8.522
Median Absolute Deviation (MAD)4
Skewness-0.07960620743
Sum17044
Variance22.53978589
MonotonicityNot monotonic
2023-11-04T18:16:33.170798image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
12 205
 
10.2%
11 173
 
8.6%
3 145
 
7.2%
13 135
 
6.8%
4 132
 
6.6%
10 131
 
6.6%
2 127
 
6.3%
1 114
 
5.7%
14 112
 
5.6%
9 104
 
5.2%
Other values (10) 622
31.1%
ValueCountFrequency (%)
0 35
 
1.8%
1 114
5.7%
2 127
6.3%
3 145
7.2%
4 132
6.6%
ValueCountFrequency (%)
20 1
 
0.1%
18 16
 
0.8%
17 40
2.0%
16 55
2.8%
15 97
4.9%

feature_34
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1565
Minimum0
Maximum21
Zeros49
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:33.329190image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q313
95-th percentile17
Maximum21
Range21
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.060515009
Coefficient of variation (CV)0.5526691431
Kurtosis-0.7808869853
Mean9.1565
Median Absolute Deviation (MAD)4
Skewness-0.01031425289
Sum18313
Variance25.60881216
MonotonicityNot monotonic
2023-11-04T18:16:33.471302image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
11 209
 
10.4%
12 208
 
10.4%
13 157
 
7.8%
10 139
 
7.0%
3 113
 
5.7%
1 113
 
5.7%
4 103
 
5.1%
8 101
 
5.1%
9 100
 
5.0%
2 97
 
4.9%
Other values (12) 660
33.0%
ValueCountFrequency (%)
0 49
2.5%
1 113
5.7%
2 97
4.9%
3 113
5.7%
4 103
5.1%
ValueCountFrequency (%)
21 8
 
0.4%
20 27
1.4%
19 37
1.8%
18 25
 
1.2%
17 63
3.1%

feature_35
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1255
Minimum0
Maximum22
Zeros77
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:33.573232image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median9
Q312
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.505534052
Coefficient of variation (CV)0.6775624949
Kurtosis-0.9297696336
Mean8.1255
Median Absolute Deviation (MAD)5
Skewness0.2767801053
Sum16251
Variance30.3109052
MonotonicityNot monotonic
2023-11-04T18:16:33.766756image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
11 196
 
9.8%
10 181
 
9.0%
2 181
 
9.0%
3 178
 
8.9%
1 168
 
8.4%
12 166
 
8.3%
4 133
 
6.7%
9 95
 
4.8%
0 77
 
3.9%
5 73
 
3.6%
Other values (13) 552
27.6%
ValueCountFrequency (%)
0 77
3.9%
1 168
8.4%
2 181
9.0%
3 178
8.9%
4 133
6.7%
ValueCountFrequency (%)
22 4
 
0.2%
21 14
 
0.7%
20 22
1.1%
19 31
1.6%
18 43
2.1%

feature_36
Real number (ℝ)

Distinct402
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean326.4115
Minimum76
Maximum581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:34.116798image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile167
Q1271
median328
Q3381.25
95-th percentile476
Maximum581
Range505
Interquartile range (IQR)110.25

Descriptive statistics

Standard deviation87.79722857
Coefficient of variation (CV)0.2689771303
Kurtosis-0.05676206533
Mean326.4115
Median Absolute Deviation (MAD)56
Skewness-0.04084404833
Sum652823
Variance7708.353344
MonotonicityNot monotonic
2023-11-04T18:16:34.434111image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
294 17
 
0.9%
329 17
 
0.9%
327 16
 
0.8%
360 16
 
0.8%
333 15
 
0.8%
282 15
 
0.8%
353 15
 
0.8%
324 14
 
0.7%
352 14
 
0.7%
356 14
 
0.7%
Other values (392) 1847
92.3%
ValueCountFrequency (%)
76 1
0.1%
83 1
0.1%
90 1
0.1%
96 1
0.1%
102 1
0.1%
ValueCountFrequency (%)
581 1
0.1%
575 1
0.1%
568 1
0.1%
560 1
0.1%
557 1
0.1%

feature_37
Real number (ℝ)

Distinct483
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.9235
Minimum66
Maximum655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:34.797061image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile125
Q1197.75
median273
Q3369.25
95-th percentile515
Maximum655
Range589
Interquartile range (IQR)171.5

Descriptive statistics

Standard deviation120.4978901
Coefficient of variation (CV)0.4141909818
Kurtosis-0.3876483292
Mean290.9235
Median Absolute Deviation (MAD)85
Skewness0.5423321987
Sum581847
Variance14519.74152
MonotonicityNot monotonic
2023-11-04T18:16:34.980460image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
216 14
 
0.7%
270 12
 
0.6%
166 12
 
0.6%
276 12
 
0.6%
255 12
 
0.6%
201 11
 
0.5%
142 11
 
0.5%
150 11
 
0.5%
266 11
 
0.5%
295 11
 
0.5%
Other values (473) 1883
94.2%
ValueCountFrequency (%)
66 1
0.1%
71 1
0.1%
75 2
0.1%
79 1
0.1%
80 1
0.1%
ValueCountFrequency (%)
655 1
 
0.1%
633 1
 
0.1%
630 1
 
0.1%
620 1
 
0.1%
617 3
0.1%

feature_38
Real number (ℝ)

Distinct468
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean820.9785
Minimum581
Maximum1226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:35.183764image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum581
5-th percentile664.95
Q1729
median808
Q3896
95-th percentile1030
Maximum1226
Range645
Interquartile range (IQR)167

Descriptive statistics

Standard deviation113.6771802
Coefficient of variation (CV)0.1384654777
Kurtosis-0.1315723582
Mean820.9785
Median Absolute Deviation (MAD)82
Skewness0.5506863494
Sum1641957
Variance12922.50129
MonotonicityNot monotonic
2023-11-04T18:16:35.359902image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
736 16
 
0.8%
777 15
 
0.8%
709 15
 
0.8%
719 12
 
0.6%
890 12
 
0.6%
712 12
 
0.6%
713 11
 
0.5%
913 11
 
0.5%
860 11
 
0.5%
807 11
 
0.5%
Other values (458) 1874
93.7%
ValueCountFrequency (%)
581 1
0.1%
585 1
0.1%
586 1
0.1%
590 1
0.1%
595 2
0.1%
ValueCountFrequency (%)
1226 1
0.1%
1207 1
0.1%
1201 1
0.1%
1193 1
0.1%
1176 2
0.1%

feature_39
Real number (ℝ)

Distinct411
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean805.314
Minimum607
Maximum1193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:35.552581image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum607
5-th percentile673
Q1724
median782.5
Q3878
95-th percentile989
Maximum1193
Range586
Interquartile range (IQR)154

Descriptive statistics

Standard deviation101.5982062
Coefficient of variation (CV)0.1261597417
Kurtosis-0.2361169597
Mean805.314
Median Absolute Deviation (MAD)70.5
Skewness0.6554900653
Sum1610628
Variance10322.1955
MonotonicityNot monotonic
2023-11-04T18:16:35.691966image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
713 18
 
0.9%
712 16
 
0.8%
693 16
 
0.8%
769 14
 
0.7%
719 14
 
0.7%
721 14
 
0.7%
755 13
 
0.7%
731 13
 
0.7%
735 13
 
0.7%
732 13
 
0.7%
Other values (401) 1856
92.8%
ValueCountFrequency (%)
607 1
0.1%
628 1
0.1%
629 1
0.1%
630 2
0.1%
631 1
0.1%
ValueCountFrequency (%)
1193 1
0.1%
1158 1
0.1%
1154 1
0.1%
1146 2
0.1%
1130 1
0.1%

feature_40
Real number (ℝ)

Distinct326
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean798.8795
Minimum559
Maximum932
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:35.809814image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum559
5-th percentile647
Q1755
median815
Q3857
95-th percentile898
Maximum932
Range373
Interquartile range (IQR)102

Descriptive statistics

Standard deviation76.60661372
Coefficient of variation (CV)0.0958925767
Kurtosis-0.04983835495
Mean798.8795
Median Absolute Deviation (MAD)48
Skewness-0.7757820447
Sum1597759
Variance5868.573266
MonotonicityNot monotonic
2023-11-04T18:16:36.006264image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
835 23
 
1.1%
809 19
 
0.9%
855 19
 
0.9%
856 18
 
0.9%
849 17
 
0.9%
842 17
 
0.9%
818 16
 
0.8%
839 16
 
0.8%
807 16
 
0.8%
871 16
 
0.8%
Other values (316) 1823
91.1%
ValueCountFrequency (%)
559 1
0.1%
560 1
0.1%
565 1
0.1%
567 1
0.1%
568 1
0.1%
ValueCountFrequency (%)
932 1
 
0.1%
928 2
0.1%
927 4
0.2%
924 1
 
0.1%
922 2
0.1%

feature_41
Real number (ℝ)

Distinct364
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean888.374
Minimum602
Maximum1083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:36.131439image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum602
5-th percentile735.95
Q1833
median907
Q3948.25
95-th percentile992
Maximum1083
Range481
Interquartile range (IQR)115.25

Descriptive statistics

Standard deviation80.87352093
Coefficient of variation (CV)0.09103544332
Kurtosis-0.1230206119
Mean888.374
Median Absolute Deviation (MAD)51
Skewness-0.671819591
Sum1776748
Variance6540.526387
MonotonicityNot monotonic
2023-11-04T18:16:36.271930image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
932 19
 
0.9%
946 18
 
0.9%
913 18
 
0.9%
952 17
 
0.9%
927 17
 
0.9%
901 16
 
0.8%
941 16
 
0.8%
957 16
 
0.8%
931 16
 
0.8%
944 16
 
0.8%
Other values (354) 1831
91.5%
ValueCountFrequency (%)
602 1
0.1%
606 1
0.1%
629 1
0.1%
632 1
0.1%
651 1
0.1%
ValueCountFrequency (%)
1083 2
0.1%
1082 1
0.1%
1057 1
0.1%
1053 1
0.1%
1050 1
0.1%

feature_42
Real number (ℝ)

Distinct34
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.533
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:36.598451image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q115
median20
Q326
95-th percentile32
Maximum35
Range33
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.129328486
Coefficient of variation (CV)0.3472131927
Kurtosis-0.967545342
Mean20.533
Median Absolute Deviation (MAD)6
Skewness-0.09587515292
Sum41066
Variance50.82732466
MonotonicityNot monotonic
2023-11-04T18:16:36.955315image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
26 134
 
6.7%
25 123
 
6.2%
27 109
 
5.5%
18 105
 
5.2%
12 101
 
5.1%
24 95
 
4.8%
14 94
 
4.7%
13 91
 
4.5%
15 89
 
4.5%
28 83
 
4.2%
Other values (24) 976
48.8%
ValueCountFrequency (%)
2 1
 
0.1%
3 4
0.2%
4 7
0.4%
5 9
0.4%
6 8
0.4%
ValueCountFrequency (%)
35 7
 
0.4%
34 17
 
0.9%
33 32
1.6%
32 52
2.6%
31 47
2.4%

feature_43
Real number (ℝ)

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.904
Minimum3
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:37.293050image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q116
median21
Q326
95-th percentile33
Maximum41
Range38
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.631835065
Coefficient of variation (CV)0.3650896988
Kurtosis-0.5954344726
Mean20.904
Median Absolute Deviation (MAD)5
Skewness-0.04640760921
Sum41808
Variance58.24490645
MonotonicityNot monotonic
2023-11-04T18:16:37.672168image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20 116
 
5.8%
18 114
 
5.7%
23 111
 
5.5%
24 98
 
4.9%
22 93
 
4.7%
21 91
 
4.5%
26 89
 
4.5%
16 86
 
4.3%
25 83
 
4.2%
17 79
 
4.0%
Other values (29) 1040
52.0%
ValueCountFrequency (%)
3 2
 
0.1%
4 8
 
0.4%
5 7
 
0.4%
6 30
1.5%
7 35
1.8%
ValueCountFrequency (%)
41 1
 
0.1%
40 1
 
0.1%
39 4
 
0.2%
38 14
0.7%
37 11
0.5%

feature_44
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.22
Minimum0
Maximum43
Zeros26
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:38.056894image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q117
median25
Q332
95-th percentile39
Maximum43
Range43
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.950130781
Coefficient of variation (CV)0.4108229059
Kurtosis-0.5073220548
Mean24.22
Median Absolute Deviation (MAD)7
Skewness-0.4351590516
Sum48440
Variance99.00510255
MonotonicityNot monotonic
2023-11-04T18:16:38.347689image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
32 83
 
4.2%
31 81
 
4.0%
28 78
 
3.9%
29 75
 
3.8%
34 75
 
3.8%
23 74
 
3.7%
21 73
 
3.6%
24 70
 
3.5%
25 70
 
3.5%
30 70
 
3.5%
Other values (34) 1251
62.5%
ValueCountFrequency (%)
0 26
1.3%
1 22
1.1%
2 18
0.9%
3 8
 
0.4%
4 9
 
0.4%
ValueCountFrequency (%)
43 4
 
0.2%
42 7
 
0.4%
41 7
 
0.4%
40 39
1.9%
39 45
2.2%

feature_45
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.996
Minimum0
Maximum23
Zeros63
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:38.630792image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median9
Q312
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.615802944
Coefficient of variation (CV)0.513095036
Kurtosis-0.3480989292
Mean8.996
Median Absolute Deviation (MAD)3
Skewness-0.07506948814
Sum17992
Variance21.30563682
MonotonicityNot monotonic
2023-11-04T18:16:38.922838image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9 249
12.4%
10 247
12.3%
8 190
 
9.5%
11 184
 
9.2%
1 121
 
6.0%
12 107
 
5.3%
7 101
 
5.1%
13 92
 
4.6%
6 77
 
3.9%
14 74
 
3.7%
Other values (13) 558
27.9%
ValueCountFrequency (%)
0 63
3.1%
1 121
6.0%
2 74
3.7%
3 60
3.0%
4 60
3.0%
ValueCountFrequency (%)
23 1
 
0.1%
21 6
 
0.3%
20 9
 
0.4%
19 14
0.7%
18 32
1.6%

feature_46
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4495
Minimum0
Maximum21
Zeros82
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:39.295694image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q314
95-th percentile17
Maximum21
Range21
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.50468896
Coefficient of variation (CV)0.5825375904
Kurtosis-1.142371279
Mean9.4495
Median Absolute Deviation (MAD)4
Skewness-0.2201887118
Sum18899
Variance30.30160055
MonotonicityNot monotonic
2023-11-04T18:16:39.667645image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 167
 
8.3%
15 155
 
7.8%
13 151
 
7.5%
11 130
 
6.5%
14 129
 
6.5%
10 121
 
6.0%
16 120
 
6.0%
12 118
 
5.9%
2 115
 
5.8%
9 106
 
5.3%
Other values (12) 688
34.4%
ValueCountFrequency (%)
0 82
4.1%
1 167
8.3%
2 115
5.8%
3 71
3.5%
4 64
 
3.2%
ValueCountFrequency (%)
21 1
 
0.1%
20 10
 
0.5%
19 26
 
1.3%
18 48
2.4%
17 82
4.1%

feature_47
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0735
Minimum0
Maximum22
Zeros91
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:39.964288image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q313
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.423726224
Coefficient of variation (CV)0.5977545847
Kurtosis-0.9518147358
Mean9.0735
Median Absolute Deviation (MAD)4
Skewness-0.1183486508
Sum18147
Variance29.41680615
MonotonicityNot monotonic
2023-11-04T18:16:40.267185image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
11 189
 
9.4%
1 185
 
9.2%
10 182
 
9.1%
12 165
 
8.2%
9 153
 
7.6%
13 141
 
7.0%
2 118
 
5.9%
0 91
 
4.5%
3 88
 
4.4%
14 82
 
4.1%
Other values (13) 606
30.3%
ValueCountFrequency (%)
0 91
4.5%
1 185
9.2%
2 118
5.9%
3 88
4.4%
4 55
 
2.8%
ValueCountFrequency (%)
22 2
 
0.1%
21 7
 
0.4%
20 15
 
0.8%
19 29
1.5%
18 54
2.7%

feature_48
Real number (ℝ)

Distinct300
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307.2515
Minimum123
Maximum514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:40.558579image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum123
5-th percentile211
Q1259
median303
Q3352
95-th percentile417
Maximum514
Range391
Interquartile range (IQR)93

Descriptive statistics

Standard deviation64.30300682
Coefficient of variation (CV)0.2092845985
Kurtosis-0.3506082538
Mean307.2515
Median Absolute Deviation (MAD)46
Skewness0.2476609292
Sum614503
Variance4134.876686
MonotonicityNot monotonic
2023-11-04T18:16:40.873306image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303 20
 
1.0%
287 19
 
0.9%
301 19
 
0.9%
297 17
 
0.9%
310 17
 
0.9%
331 17
 
0.9%
243 16
 
0.8%
302 16
 
0.8%
348 16
 
0.8%
270 15
 
0.8%
Other values (290) 1828
91.4%
ValueCountFrequency (%)
123 1
0.1%
134 1
0.1%
147 1
0.1%
153 1
0.1%
154 1
0.1%
ValueCountFrequency (%)
514 1
0.1%
510 2
0.1%
500 1
0.1%
499 1
0.1%
494 1
0.1%

feature_49
Real number (ℝ)

Distinct484
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.1625
Minimum71
Maximum650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:41.120824image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile151
Q1221
median293
Q3388
95-th percentile544
Maximum650
Range579
Interquartile range (IQR)167

Descriptive statistics

Standard deviation117.5046415
Coefficient of variation (CV)0.3764213878
Kurtosis-0.3233454023
Mean312.1625
Median Absolute Deviation (MAD)80
Skewness0.5953457253
Sum624325
Variance13807.34076
MonotonicityNot monotonic
2023-11-04T18:16:41.298767image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210 17
 
0.9%
293 17
 
0.9%
240 12
 
0.6%
206 12
 
0.6%
237 12
 
0.6%
299 11
 
0.5%
318 11
 
0.5%
191 11
 
0.5%
281 11
 
0.5%
185 11
 
0.5%
Other values (474) 1875
93.8%
ValueCountFrequency (%)
71 1
0.1%
88 1
0.1%
91 1
0.1%
93 1
0.1%
95 1
0.1%
ValueCountFrequency (%)
650 1
0.1%
646 1
0.1%
644 1
0.1%
640 2
0.1%
632 1
0.1%

feature_50
Real number (ℝ)

Distinct471
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean794.6805
Minimum553
Maximum1196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:41.525557image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum553
5-th percentile638.95
Q1704.75
median781
Q3868.25
95-th percentile1000.05
Maximum1196
Range643
Interquartile range (IQR)163.5

Descriptive statistics

Standard deviation112.4396716
Coefficient of variation (CV)0.1414904124
Kurtosis-0.08171956798
Mean794.6805
Median Absolute Deviation (MAD)80.5
Skewness0.5764161057
Sum1589361
Variance12642.67976
MonotonicityNot monotonic
2023-11-04T18:16:41.644178image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
692 13
 
0.7%
701 13
 
0.7%
823 13
 
0.7%
720 12
 
0.6%
762 12
 
0.6%
686 12
 
0.6%
797 12
 
0.6%
755 12
 
0.6%
709 12
 
0.6%
765 11
 
0.5%
Other values (461) 1878
93.9%
ValueCountFrequency (%)
553 1
0.1%
557 1
0.1%
560 1
0.1%
567 1
0.1%
569 1
0.1%
ValueCountFrequency (%)
1196 1
0.1%
1177 1
0.1%
1171 1
0.1%
1167 1
0.1%
1148 1
0.1%

feature_51
Real number (ℝ)

Distinct413
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean817.129
Minimum573
Maximum1177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:41.763717image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum573
5-th percentile694
Q1747
median796
Q3885
95-th percentile996
Maximum1177
Range604
Interquartile range (IQR)138

Descriptive statistics

Standard deviation95.68912458
Coefficient of variation (CV)0.1171040614
Kurtosis0.04237587026
Mean817.129
Median Absolute Deviation (MAD)60
Skewness0.7030513313
Sum1634258
Variance9156.408563
MonotonicityNot monotonic
2023-11-04T18:16:41.890251image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
765 26
 
1.3%
759 20
 
1.0%
768 18
 
0.9%
735 17
 
0.9%
758 17
 
0.9%
776 16
 
0.8%
756 15
 
0.8%
743 15
 
0.8%
754 14
 
0.7%
779 14
 
0.7%
Other values (403) 1828
91.4%
ValueCountFrequency (%)
573 1
0.1%
587 1
0.1%
607 1
0.1%
616 1
0.1%
619 1
0.1%
ValueCountFrequency (%)
1177 1
0.1%
1170 1
0.1%
1148 1
0.1%
1132 1
0.1%
1127 1
0.1%

feature_52
Real number (ℝ)

Distinct375
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean891.3755
Minimum604
Maximum1048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:42.018418image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum604
5-th percentile704.95
Q1830
median917
Q3963
95-th percentile1011
Maximum1048
Range444
Interquartile range (IQR)133

Descriptive statistics

Standard deviation94.52867467
Coefficient of variation (CV)0.1060480961
Kurtosis-0.3616493682
Mean891.3755
Median Absolute Deviation (MAD)56
Skewness-0.7616728885
Sum1782751
Variance8935.670335
MonotonicityNot monotonic
2023-11-04T18:16:42.136120image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
965 20
 
1.0%
923 18
 
0.9%
971 17
 
0.9%
953 17
 
0.9%
951 17
 
0.9%
915 16
 
0.8%
943 15
 
0.8%
931 15
 
0.8%
924 15
 
0.8%
911 14
 
0.7%
Other values (365) 1836
91.8%
ValueCountFrequency (%)
604 1
0.1%
627 1
0.1%
631 1
0.1%
634 1
0.1%
640 1
0.1%
ValueCountFrequency (%)
1048 1
 
0.1%
1044 1
 
0.1%
1043 3
0.1%
1040 1
 
0.1%
1038 1
 
0.1%

feature_53
Real number (ℝ)

Distinct367
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean738.781
Minimum475
Maximum1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:42.252238image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum475
5-th percentile585.95
Q1695
median753
Q3787
95-th percentile845.05
Maximum1011
Range536
Interquartile range (IQR)92

Descriptive statistics

Standard deviation77.715313
Coefficient of variation (CV)0.105193979
Kurtosis0.4762468936
Mean738.781
Median Absolute Deviation (MAD)43
Skewness-0.5617448732
Sum1477562
Variance6039.669874
MonotonicityNot monotonic
2023-11-04T18:16:42.375882image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
745 23
 
1.1%
772 22
 
1.1%
751 21
 
1.1%
774 21
 
1.1%
784 20
 
1.0%
779 19
 
0.9%
761 19
 
0.9%
759 18
 
0.9%
787 18
 
0.9%
768 18
 
0.9%
Other values (357) 1801
90.0%
ValueCountFrequency (%)
475 1
0.1%
492 2
0.1%
493 1
0.1%
497 1
0.1%
499 1
0.1%
ValueCountFrequency (%)
1011 1
0.1%
984 1
0.1%
976 1
0.1%
969 1
0.1%
938 2
0.1%

feature_54
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.112
Minimum0
Maximum41
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:42.520951image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q114
median23
Q332
95-th percentile38
Maximum41
Range41
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.8702593
Coefficient of variation (CV)0.4916000046
Kurtosis-0.9433033271
Mean22.112
Median Absolute Deviation (MAD)9
Skewness-0.1969419001
Sum44224
Variance118.1625373
MonotonicityNot monotonic
2023-11-04T18:16:42.750930image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
14 74
 
3.7%
15 72
 
3.6%
35 71
 
3.5%
23 70
 
3.5%
1 68
 
3.4%
34 67
 
3.4%
25 63
 
3.1%
13 62
 
3.1%
37 62
 
3.1%
17 62
 
3.1%
Other values (32) 1329
66.5%
ValueCountFrequency (%)
0 25
 
1.2%
1 68
3.4%
2 19
 
0.9%
3 15
 
0.8%
4 13
 
0.7%
ValueCountFrequency (%)
41 9
 
0.4%
40 31
1.6%
39 44
2.2%
38 48
2.4%
37 62
3.1%

feature_55
Real number (ℝ)

Distinct40
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.242
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:42.961222image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q115
median21
Q326
95-th percentile33
Maximum40
Range39
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.536326519
Coefficient of variation (CV)0.4217135915
Kurtosis-0.5859468693
Mean20.242
Median Absolute Deviation (MAD)6
Skewness-0.2592651588
Sum40484
Variance72.86887044
MonotonicityNot monotonic
2023-11-04T18:16:43.189720image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
22 121
 
6.0%
23 100
 
5.0%
24 95
 
4.8%
20 94
 
4.7%
18 94
 
4.7%
19 89
 
4.5%
21 88
 
4.4%
26 85
 
4.2%
25 79
 
4.0%
28 75
 
3.8%
Other values (30) 1080
54.0%
ValueCountFrequency (%)
1 2
 
0.1%
2 6
 
0.3%
3 34
1.7%
4 60
3.0%
5 54
2.7%
ValueCountFrequency (%)
40 2
 
0.1%
39 3
 
0.1%
38 12
0.6%
37 10
0.5%
36 24
1.2%

feature_56
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.814
Minimum0
Maximum43
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:43.422931image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median20
Q329
95-th percentile38
Maximum43
Range43
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.18355668
Coefficient of variation (CV)0.564427005
Kurtosis-1.055824262
Mean19.814
Median Absolute Deviation (MAD)9
Skewness0.02645232319
Sum39628
Variance125.07194
MonotonicityNot monotonic
2023-11-04T18:16:43.643127image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
24 84
 
4.2%
28 79
 
4.0%
11 71
 
3.5%
10 69
 
3.5%
12 62
 
3.1%
29 60
 
3.0%
22 59
 
2.9%
27 58
 
2.9%
30 57
 
2.9%
23 57
 
2.9%
Other values (34) 1344
67.2%
ValueCountFrequency (%)
0 25
1.2%
1 48
2.4%
2 52
2.6%
3 48
2.4%
4 39
1.9%
ValueCountFrequency (%)
43 2
 
0.1%
42 7
 
0.4%
41 21
1.1%
40 21
1.1%
39 37
1.8%

feature_57
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.041
Minimum0
Maximum24
Zeros44
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:43.780509image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median9
Q312
95-th percentile16
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.574908075
Coefficient of variation (CV)0.5060179266
Kurtosis-0.3194851582
Mean9.041
Median Absolute Deviation (MAD)3
Skewness-0.03586662125
Sum18082
Variance20.92978389
MonotonicityNot monotonic
2023-11-04T18:16:43.910142image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
11 208
 
10.4%
10 203
 
10.2%
9 186
 
9.3%
12 173
 
8.6%
8 169
 
8.5%
7 126
 
6.3%
2 118
 
5.9%
13 115
 
5.8%
3 96
 
4.8%
14 83
 
4.2%
Other values (14) 523
26.2%
ValueCountFrequency (%)
0 44
 
2.2%
1 79
4.0%
2 118
5.9%
3 96
4.8%
4 58
2.9%
ValueCountFrequency (%)
24 1
 
0.1%
22 6
0.3%
21 9
0.4%
20 12
0.6%
19 13
0.7%

feature_58
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9885
Minimum0
Maximum22
Zeros51
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:44.015676image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median11
Q314
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.495404215
Coefficient of variation (CV)0.5501731206
Kurtosis-1.069824402
Mean9.9885
Median Absolute Deviation (MAD)4
Skewness-0.2143640139
Sum19977
Variance30.19946748
MonotonicityNot monotonic
2023-11-04T18:16:44.111562image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
14 150
 
7.5%
12 141
 
7.0%
16 139
 
7.0%
15 131
 
6.6%
2 127
 
6.3%
13 121
 
6.0%
11 120
 
6.0%
9 113
 
5.7%
10 111
 
5.5%
1 109
 
5.5%
Other values (13) 738
36.9%
ValueCountFrequency (%)
0 51
2.5%
1 109
5.5%
2 127
6.3%
3 98
4.9%
4 70
3.5%
ValueCountFrequency (%)
22 1
 
0.1%
21 10
 
0.5%
20 19
 
0.9%
19 35
1.8%
18 60
3.0%

feature_59
Real number (ℝ)

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.1725
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:44.225246image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q19
median10
Q312
95-th percentile15
Maximum20
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.594823752
Coefficient of variation (CV)0.2550822071
Kurtosis1.317432856
Mean10.1725
Median Absolute Deviation (MAD)1
Skewness-0.09339478025
Sum20345
Variance6.733110305
MonotonicityNot monotonic
2023-11-04T18:16:44.589431image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10 416
20.8%
9 367
18.4%
11 296
14.8%
12 235
11.8%
8 188
9.4%
13 121
 
6.0%
14 71
 
3.5%
7 67
 
3.4%
6 40
 
2.0%
15 40
 
2.0%
Other values (10) 159
 
8.0%
ValueCountFrequency (%)
1 3
 
0.1%
2 9
 
0.4%
3 27
1.4%
4 23
1.1%
5 33
1.7%
ValueCountFrequency (%)
20 1
 
0.1%
19 2
 
0.1%
18 7
 
0.4%
17 19
0.9%
16 35
1.8%

feature_60
Real number (ℝ)

Distinct302
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.5385
Minimum106
Maximum501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:44.792320image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile173
Q1224
median262
Q3311
95-th percentile383.05
Maximum501
Range395
Interquartile range (IQR)87

Descriptive statistics

Standard deviation64.16436745
Coefficient of variation (CV)0.2389391743
Kurtosis-0.1425858891
Mean268.5385
Median Absolute Deviation (MAD)43
Skewness0.3972230522
Sum537077
Variance4117.066051
MonotonicityNot monotonic
2023-11-04T18:16:45.034722image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268 22
 
1.1%
227 19
 
0.9%
286 19
 
0.9%
229 18
 
0.9%
239 18
 
0.9%
260 18
 
0.9%
251 17
 
0.9%
252 16
 
0.8%
266 16
 
0.8%
220 16
 
0.8%
Other values (292) 1821
91.0%
ValueCountFrequency (%)
106 1
0.1%
117 2
0.1%
120 1
0.1%
121 1
0.1%
122 1
0.1%
ValueCountFrequency (%)
501 1
0.1%
466 1
0.1%
462 1
0.1%
456 1
0.1%
454 1
0.1%

feature_61
Real number (ℝ)

Distinct348
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309.2185
Minimum125
Maximum580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:45.264714image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile194
Q1248
median303
Q3364
95-th percentile449
Maximum580
Range455
Interquartile range (IQR)116

Descriptive statistics

Standard deviation78.9715329
Coefficient of variation (CV)0.2553907121
Kurtosis-0.3183953243
Mean309.2185
Median Absolute Deviation (MAD)58
Skewness0.3698962645
Sum618437
Variance6236.503009
MonotonicityNot monotonic
2023-11-04T18:16:45.428880image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
355 17
 
0.9%
347 16
 
0.8%
241 14
 
0.7%
239 14
 
0.7%
298 13
 
0.7%
232 13
 
0.7%
255 13
 
0.7%
312 13
 
0.7%
345 13
 
0.7%
207 13
 
0.7%
Other values (338) 1861
93.0%
ValueCountFrequency (%)
125 1
0.1%
134 1
0.1%
141 1
0.1%
143 1
0.1%
146 2
0.1%
ValueCountFrequency (%)
580 1
 
0.1%
548 1
 
0.1%
547 1
 
0.1%
540 3
0.1%
538 1
 
0.1%

feature_62
Real number (ℝ)

Distinct464
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean656.1535
Minimum442
Maximum1093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:45.599257image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum442
5-th percentile500
Q1561
median643
Q3733
95-th percentile859
Maximum1093
Range651
Interquartile range (IQR)172

Descriptive statistics

Standard deviation114.5225071
Coefficient of variation (CV)0.1745361522
Kurtosis-0.1873782934
Mean656.1535
Median Absolute Deviation (MAD)86
Skewness0.5756582931
Sum1312307
Variance13115.40464
MonotonicityNot monotonic
2023-11-04T18:16:45.772284image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
553 15
 
0.8%
532 14
 
0.7%
552 14
 
0.7%
589 12
 
0.6%
540 12
 
0.6%
663 12
 
0.6%
529 12
 
0.6%
541 11
 
0.5%
593 11
 
0.5%
699 11
 
0.5%
Other values (454) 1876
93.8%
ValueCountFrequency (%)
442 1
0.1%
447 1
0.1%
450 1
0.1%
451 1
0.1%
455 1
0.1%
ValueCountFrequency (%)
1093 1
0.1%
1056 1
0.1%
1042 1
0.1%
1033 1
0.1%
1021 1
0.1%

feature_63
Real number (ℝ)

Distinct404
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean785.091
Minimum486
Maximum1145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:45.935147image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum486
5-th percentile647
Q1720
median774
Q3850
95-th percentile940
Maximum1145
Range659
Interquartile range (IQR)130

Descriptive statistics

Standard deviation91.70401045
Coefficient of variation (CV)0.1168068548
Kurtosis-0.1405104936
Mean785.091
Median Absolute Deviation (MAD)63
Skewness0.2773753575
Sum1570182
Variance8409.625532
MonotonicityNot monotonic
2023-11-04T18:16:46.069827image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
769 21
 
1.1%
763 15
 
0.8%
733 15
 
0.8%
754 14
 
0.7%
850 13
 
0.7%
797 13
 
0.7%
768 13
 
0.7%
720 13
 
0.7%
780 13
 
0.7%
746 13
 
0.7%
Other values (394) 1857
92.8%
ValueCountFrequency (%)
486 1
0.1%
548 1
0.1%
567 1
0.1%
572 2
0.1%
574 1
0.1%
ValueCountFrequency (%)
1145 1
0.1%
1090 1
0.1%
1075 2
0.1%
1070 1
0.1%
1061 1
0.1%

feature_64
Real number (ℝ)

Distinct449
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean999.5045
Minimum647
Maximum1179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:46.188193image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum647
5-th percentile753
Q1938
median1036
Q31090
95-th percentile1141
Maximum1179
Range532
Interquartile range (IQR)152

Descriptive statistics

Standard deviation121.1619664
Coefficient of variation (CV)0.1212220319
Kurtosis-0.2128397496
Mean999.5045
Median Absolute Deviation (MAD)66
Skewness-0.9036510053
Sum1999009
Variance14680.22209
MonotonicityNot monotonic
2023-11-04T18:16:46.307566image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1058 19
 
0.9%
1096 18
 
0.9%
1085 16
 
0.8%
1086 15
 
0.8%
1030 14
 
0.7%
1066 13
 
0.7%
1072 13
 
0.7%
1046 13
 
0.7%
1121 13
 
0.7%
1075 13
 
0.7%
Other values (439) 1853
92.7%
ValueCountFrequency (%)
647 1
0.1%
660 1
0.1%
666 2
0.1%
668 1
0.1%
675 1
0.1%
ValueCountFrequency (%)
1179 1
 
0.1%
1175 1
 
0.1%
1174 3
0.1%
1171 1
 
0.1%
1169 1
 
0.1%

feature_65
Real number (ℝ)

Distinct383
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean720.753
Minimum497
Maximum984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:46.422557image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum497
5-th percentile575
Q1670
median730
Q3766
95-th percentile857
Maximum984
Range487
Interquartile range (IQR)96

Descriptive statistics

Standard deviation81.58277309
Coefficient of variation (CV)0.1131910281
Kurtosis0.05808121973
Mean720.753
Median Absolute Deviation (MAD)44
Skewness-0.08482193096
Sum1441506
Variance6655.748865
MonotonicityNot monotonic
2023-11-04T18:16:46.543034image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
739 24
 
1.2%
731 23
 
1.1%
755 22
 
1.1%
729 20
 
1.0%
741 20
 
1.0%
728 19
 
0.9%
757 18
 
0.9%
721 17
 
0.9%
751 17
 
0.9%
734 17
 
0.9%
Other values (373) 1803
90.1%
ValueCountFrequency (%)
497 1
0.1%
498 1
0.1%
502 1
0.1%
512 1
0.1%
517 1
0.1%
ValueCountFrequency (%)
984 2
0.1%
980 2
0.1%
960 1
0.1%
951 1
0.1%
941 1
0.1%

feature_66
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.294
Minimum0
Maximum40
Zeros45
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:46.803604image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q113
median22
Q331
95-th percentile37
Maximum40
Range40
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.68431754
Coefficient of variation (CV)0.5017524909
Kurtosis-0.9580568996
Mean21.294
Median Absolute Deviation (MAD)9
Skewness-0.2155393342
Sum42588
Variance114.1546413
MonotonicityNot monotonic
2023-11-04T18:16:47.344234image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
24 75
 
3.8%
32 72
 
3.6%
34 70
 
3.5%
22 68
 
3.4%
31 68
 
3.4%
12 66
 
3.3%
33 63
 
3.1%
16 63
 
3.1%
13 61
 
3.0%
30 60
 
3.0%
Other values (31) 1334
66.7%
ValueCountFrequency (%)
0 45
2.2%
1 43
2.1%
2 39
1.9%
3 17
 
0.9%
4 16
 
0.8%
ValueCountFrequency (%)
40 7
 
0.4%
39 27
1.4%
38 43
2.1%
37 50
2.5%
36 53
2.6%

feature_67
Real number (ℝ)

Distinct38
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.771
Minimum3
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:47.690783image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q115
median20
Q325
95-th percentile30
Maximum40
Range37
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.834611544
Coefficient of variation (CV)0.345688713
Kurtosis-0.4940467591
Mean19.771
Median Absolute Deviation (MAD)5
Skewness-0.03066685368
Sum39542
Variance46.71191496
MonotonicityNot monotonic
2023-11-04T18:16:47.995031image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
19 117
 
5.9%
14 112
 
5.6%
18 110
 
5.5%
24 109
 
5.5%
20 106
 
5.3%
27 104
 
5.2%
26 103
 
5.1%
13 100
 
5.0%
16 95
 
4.8%
21 94
 
4.7%
Other values (28) 950
47.5%
ValueCountFrequency (%)
3 4
 
0.2%
4 9
 
0.4%
5 17
0.9%
6 31
1.6%
7 24
1.2%
ValueCountFrequency (%)
40 1
 
0.1%
39 1
 
0.1%
38 1
 
0.1%
37 2
 
0.1%
36 9
0.4%

feature_68
Real number (ℝ)

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.754
Minimum0
Maximum42
Zeros19
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:48.334689image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median15
Q323
95-th percentile37
Maximum42
Range42
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.19369608
Coefficient of variation (CV)0.6084335727
Kurtosis-0.441353146
Mean16.754
Median Absolute Deviation (MAD)7
Skewness0.6060380888
Sum33508
Variance103.9114397
MonotonicityNot monotonic
2023-11-04T18:16:48.640565image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
11 114
 
5.7%
15 103
 
5.1%
14 92
 
4.6%
16 91
 
4.5%
13 84
 
4.2%
9 81
 
4.0%
10 77
 
3.9%
12 77
 
3.9%
6 73
 
3.6%
8 73
 
3.6%
Other values (33) 1135
56.8%
ValueCountFrequency (%)
0 19
0.9%
1 39
1.9%
2 39
1.9%
3 39
1.9%
4 39
1.9%
ValueCountFrequency (%)
42 10
0.5%
41 17
0.9%
40 20
1.0%
39 16
0.8%
38 22
1.1%

feature_69
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.074
Minimum0
Maximum19
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:48.936534image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q313
95-th percentile15
Maximum19
Range19
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.623225184
Coefficient of variation (CV)0.5095024448
Kurtosis-1.24112541
Mean9.074
Median Absolute Deviation (MAD)4
Skewness-0.1409360695
Sum18148
Variance21.37421111
MonotonicityNot monotonic
2023-11-04T18:16:49.210826image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
14 219
10.9%
13 197
 
9.8%
5 163
 
8.2%
4 151
 
7.5%
12 149
 
7.4%
6 142
 
7.1%
15 135
 
6.8%
3 127
 
6.3%
10 106
 
5.3%
11 106
 
5.3%
Other values (10) 505
25.2%
ValueCountFrequency (%)
0 25
 
1.2%
1 67
3.4%
2 60
 
3.0%
3 127
6.3%
4 151
7.5%
ValueCountFrequency (%)
19 3
 
0.1%
18 7
 
0.4%
17 26
 
1.3%
16 60
3.0%
15 135
6.8%

feature_70
Real number (ℝ)

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8475
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:49.551073image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median9
Q312
95-th percentile17
Maximum20
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.460958374
Coefficient of variation (CV)0.3514555343
Kurtosis-0.01121651007
Mean9.8475
Median Absolute Deviation (MAD)2
Skewness0.5193590169
Sum19695
Variance11.97823287
MonotonicityNot monotonic
2023-11-04T18:16:49.835914image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9 338
16.9%
8 280
14.0%
10 276
13.8%
7 173
8.6%
11 148
7.4%
12 98
 
4.9%
6 96
 
4.8%
13 86
 
4.3%
5 81
 
4.0%
15 80
 
4.0%
Other values (10) 344
17.2%
ValueCountFrequency (%)
1 2
 
0.1%
2 4
 
0.2%
3 30
 
1.5%
4 61
3.0%
5 81
4.0%
ValueCountFrequency (%)
20 3
 
0.1%
19 14
 
0.7%
18 25
 
1.2%
17 71
3.5%
16 68
3.4%

feature_71
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3625
Minimum0
Maximum24
Zeros89
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:50.160297image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q313
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.06427914
Coefficient of variation (CV)0.6477200684
Kurtosis-0.8697382004
Mean9.3625
Median Absolute Deviation (MAD)5
Skewness0.2565695945
Sum18725
Variance36.77548149
MonotonicityNot monotonic
2023-11-04T18:16:50.447145image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9 188
 
9.4%
10 179
 
8.9%
1 169
 
8.5%
8 168
 
8.4%
2 117
 
5.9%
11 112
 
5.6%
18 95
 
4.8%
0 89
 
4.5%
3 86
 
4.3%
6 85
 
4.2%
Other values (15) 712
35.6%
ValueCountFrequency (%)
0 89
4.5%
1 169
8.5%
2 117
5.9%
3 86
4.3%
4 50
 
2.5%
ValueCountFrequency (%)
24 1
 
0.1%
23 4
 
0.2%
22 19
 
0.9%
21 31
1.6%
20 67
3.4%

feature_72
Real number (ℝ)

Distinct304
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean287.8225
Minimum111
Maximum501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:50.770840image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum111
5-th percentile188
Q1245
median286
Q3330
95-th percentile391
Maximum501
Range390
Interquartile range (IQR)85

Descriptive statistics

Standard deviation60.95998732
Coefficient of variation (CV)0.2117971573
Kurtosis-0.1805948591
Mean287.8225
Median Absolute Deviation (MAD)43
Skewness0.07408370146
Sum575645
Variance3716.120054
MonotonicityNot monotonic
2023-11-04T18:16:51.120241image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301 20
 
1.0%
251 20
 
1.0%
336 19
 
0.9%
296 19
 
0.9%
286 18
 
0.9%
276 18
 
0.9%
313 17
 
0.9%
245 17
 
0.9%
284 17
 
0.9%
253 17
 
0.9%
Other values (294) 1818
90.9%
ValueCountFrequency (%)
111 1
0.1%
120 1
0.1%
122 1
0.1%
129 1
0.1%
132 1
0.1%
ValueCountFrequency (%)
501 1
0.1%
477 1
0.1%
466 1
0.1%
456 1
0.1%
453 1
0.1%

feature_73
Real number (ℝ)

Distinct361
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.2515
Minimum125
Maximum613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:51.458428image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile211
Q1266
median317
Q3381
95-th percentile481
Maximum613
Range488
Interquartile range (IQR)115

Descriptive statistics

Standard deviation82.39424527
Coefficient of variation (CV)0.2517765244
Kurtosis-0.2837404978
Mean327.2515
Median Absolute Deviation (MAD)56
Skewness0.4751018599
Sum654503
Variance6788.811654
MonotonicityNot monotonic
2023-11-04T18:16:51.638220image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
334 17
 
0.9%
303 16
 
0.8%
318 15
 
0.8%
264 14
 
0.7%
280 14
 
0.7%
267 14
 
0.7%
271 14
 
0.7%
259 14
 
0.7%
279 14
 
0.7%
272 14
 
0.7%
Other values (351) 1854
92.7%
ValueCountFrequency (%)
125 1
0.1%
142 1
0.1%
143 2
0.1%
147 1
0.1%
148 1
0.1%
ValueCountFrequency (%)
613 1
0.1%
577 1
0.1%
571 1
0.1%
570 1
0.1%
559 1
0.1%

feature_74
Real number (ℝ)

Distinct435
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean766.2895
Minimum511
Maximum1164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:51.803880image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum511
5-th percentile626.95
Q1698
median753
Q3825
95-th percentile948
Maximum1164
Range653
Interquartile range (IQR)127

Descriptive statistics

Standard deviation97.20114053
Coefficient of variation (CV)0.1268464993
Kurtosis0.3603736594
Mean766.2895
Median Absolute Deviation (MAD)61
Skewness0.5852695871
Sum1532579
Variance9448.061721
MonotonicityNot monotonic
2023-11-04T18:16:51.937894image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
751 17
 
0.9%
698 17
 
0.9%
721 16
 
0.8%
764 16
 
0.8%
715 15
 
0.8%
712 15
 
0.8%
735 14
 
0.7%
746 14
 
0.7%
749 13
 
0.7%
753 13
 
0.7%
Other values (425) 1850
92.5%
ValueCountFrequency (%)
511 1
0.1%
524 1
0.1%
533 2
0.1%
547 1
0.1%
550 1
0.1%
ValueCountFrequency (%)
1164 1
0.1%
1159 1
0.1%
1137 1
0.1%
1113 1
0.1%
1094 1
0.1%

feature_75
Real number (ℝ)

Distinct395
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean630.917
Minimum463
Maximum992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:52.057517image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum463
5-th percentile505
Q1553
median609
Q3702
95-th percentile804
Maximum992
Range529
Interquartile range (IQR)149

Descriptive statistics

Standard deviation96.56102799
Coefficient of variation (CV)0.1530487021
Kurtosis-0.3428743111
Mean630.917
Median Absolute Deviation (MAD)69
Skewness0.6225321584
Sum1261834
Variance9324.032127
MonotonicityNot monotonic
2023-11-04T18:16:52.178071image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
553 18
 
0.9%
566 15
 
0.8%
574 15
 
0.8%
556 14
 
0.7%
540 14
 
0.7%
531 14
 
0.7%
560 14
 
0.7%
527 13
 
0.7%
547 13
 
0.7%
521 12
 
0.6%
Other values (385) 1858
92.9%
ValueCountFrequency (%)
463 1
 
0.1%
469 1
 
0.1%
472 1
 
0.1%
474 3
0.1%
475 2
0.1%
ValueCountFrequency (%)
992 1
0.1%
961 1
0.1%
955 1
0.1%
949 1
0.1%
943 1
0.1%

feature_76
Real number (ℝ)

Distinct313
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean716.8085
Minimum432
Maximum937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:52.378835image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum432
5-th percentile606
Q1682
median722
Q3758
95-th percentile806.05
Maximum937
Range505
Interquartile range (IQR)76

Descriptive statistics

Standard deviation63.00837131
Coefficient of variation (CV)0.08790126137
Kurtosis0.7530737713
Mean716.8085
Median Absolute Deviation (MAD)38
Skewness-0.3664875791
Sum1433617
Variance3970.054855
MonotonicityNot monotonic
2023-11-04T18:16:52.497156image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
730 22
 
1.1%
754 20
 
1.0%
722 20
 
1.0%
711 19
 
0.9%
741 19
 
0.9%
724 19
 
0.9%
755 19
 
0.9%
704 19
 
0.9%
745 18
 
0.9%
761 18
 
0.9%
Other values (303) 1807
90.3%
ValueCountFrequency (%)
432 1
0.1%
462 1
0.1%
483 1
0.1%
495 1
0.1%
508 1
0.1%
ValueCountFrequency (%)
937 1
0.1%
921 1
0.1%
917 1
0.1%
914 2
0.1%
907 1
0.1%

feature_77
Real number (ℝ)

Distinct432
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean990.153
Minimum642
Maximum1204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:52.612485image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum642
5-th percentile780.95
Q1904
median1020
Q31083
95-th percentile1131
Maximum1204
Range562
Interquartile range (IQR)179

Descriptive statistics

Standard deviation112.7006891
Coefficient of variation (CV)0.1138214893
Kurtosis-0.7390021603
Mean990.153
Median Absolute Deviation (MAD)78
Skewness-0.5860439021
Sum1980306
Variance12701.44531
MonotonicityNot monotonic
2023-11-04T18:16:52.727061image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1073 17
 
0.9%
1091 16
 
0.8%
1061 15
 
0.8%
1065 14
 
0.7%
1097 14
 
0.7%
1100 14
 
0.7%
1087 14
 
0.7%
1059 14
 
0.7%
1117 13
 
0.7%
1082 13
 
0.7%
Other values (422) 1856
92.8%
ValueCountFrequency (%)
642 1
0.1%
677 1
0.1%
694 1
0.1%
705 1
0.1%
708 1
0.1%
ValueCountFrequency (%)
1204 1
0.1%
1177 1
0.1%
1169 1
0.1%
1166 2
0.1%
1163 2
0.1%

feature_78
Real number (ℝ)

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.675
Minimum0
Maximum42
Zeros5
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:52.874117image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q111
median16
Q324
95-th percentile34
Maximum42
Range42
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.575263411
Coefficient of variation (CV)0.4851634179
Kurtosis-0.3303930492
Mean17.675
Median Absolute Deviation (MAD)6
Skewness0.4506500527
Sum35350
Variance73.53514257
MonotonicityNot monotonic
2023-11-04T18:16:53.140080image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
13 129
 
6.5%
12 100
 
5.0%
9 97
 
4.9%
11 96
 
4.8%
14 96
 
4.8%
25 92
 
4.6%
15 82
 
4.1%
16 80
 
4.0%
17 79
 
4.0%
23 73
 
3.6%
Other values (33) 1076
53.8%
ValueCountFrequency (%)
0 5
 
0.2%
1 14
0.7%
2 12
0.6%
3 25
1.2%
4 16
0.8%
ValueCountFrequency (%)
42 2
 
0.1%
41 4
 
0.2%
40 14
0.7%
39 8
0.4%
38 11
0.5%

feature_79
Real number (ℝ)

Distinct40
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.935
Minimum3
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:53.360343image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile10
Q117
median23
Q329
95-th percentile35
Maximum42
Range39
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.53745193
Coefficient of variation (CV)0.328644078
Kurtosis-0.7051217147
Mean22.935
Median Absolute Deviation (MAD)6
Skewness-0.05444232493
Sum45870
Variance56.81318159
MonotonicityNot monotonic
2023-11-04T18:16:53.592302image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
28 113
 
5.7%
29 102
 
5.1%
18 101
 
5.1%
26 97
 
4.9%
30 89
 
4.5%
22 88
 
4.4%
21 86
 
4.3%
20 85
 
4.2%
15 85
 
4.2%
24 84
 
4.2%
Other values (30) 1070
53.5%
ValueCountFrequency (%)
3 3
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
6 4
0.2%
7 9
0.4%
ValueCountFrequency (%)
42 3
 
0.1%
41 2
 
0.1%
40 8
0.4%
39 7
0.4%
38 14
0.7%

feature_80
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.367
Minimum0
Maximum40
Zeros30
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:53.850175image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q117
median24
Q331
95-th percentile38
Maximum40
Range40
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.68680691
Coefficient of variation (CV)0.4145507301
Kurtosis-0.461707815
Mean23.367
Median Absolute Deviation (MAD)7
Skewness-0.4431029264
Sum46734
Variance93.83422811
MonotonicityNot monotonic
2023-11-04T18:16:54.020850image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
23 86
 
4.3%
28 83
 
4.2%
29 83
 
4.2%
31 82
 
4.1%
21 81
 
4.0%
32 80
 
4.0%
30 78
 
3.9%
22 74
 
3.7%
26 71
 
3.5%
24 70
 
3.5%
Other values (31) 1212
60.6%
ValueCountFrequency (%)
0 30
1.5%
1 26
1.3%
2 17
0.9%
3 9
 
0.4%
4 10
 
0.5%
ValueCountFrequency (%)
40 22
 
1.1%
39 37
1.8%
38 55
2.8%
37 40
2.0%
36 41
2.1%

feature_81
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.637
Minimum0
Maximum24
Zeros58
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:54.166548image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median10
Q314
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.483453759
Coefficient of variation (CV)0.5155075453
Kurtosis-0.5198003816
Mean10.637
Median Absolute Deviation (MAD)3
Skewness-0.08002880831
Sum21274
Variance30.06826513
MonotonicityNot monotonic
2023-11-04T18:16:54.283563image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9 208
 
10.4%
10 201
 
10.1%
11 180
 
9.0%
8 133
 
6.7%
12 120
 
6.0%
1 111
 
5.5%
13 108
 
5.4%
14 98
 
4.9%
15 91
 
4.5%
18 84
 
4.2%
Other values (15) 666
33.3%
ValueCountFrequency (%)
0 58
2.9%
1 111
5.5%
2 77
3.9%
3 36
 
1.8%
4 36
 
1.8%
ValueCountFrequency (%)
24 3
 
0.1%
23 9
 
0.4%
22 16
 
0.8%
21 22
1.1%
20 53
2.6%

feature_82
Real number (ℝ)

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9495
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:54.427533image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median9
Q312
95-th percentile17
Maximum20
Range19
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.504153149
Coefficient of variation (CV)0.3521938941
Kurtosis-0.08783778894
Mean9.9495
Median Absolute Deviation (MAD)2
Skewness0.451571121
Sum19899
Variance12.27908929
MonotonicityNot monotonic
2023-11-04T18:16:54.683323image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9 308
15.4%
10 259
13.0%
8 251
12.6%
7 178
8.9%
11 169
8.5%
12 132
 
6.6%
6 104
 
5.2%
13 95
 
4.8%
5 77
 
3.9%
17 76
 
3.8%
Other values (10) 351
17.5%
ValueCountFrequency (%)
1 2
 
0.1%
2 6
 
0.3%
3 31
1.6%
4 58
2.9%
5 77
3.9%
ValueCountFrequency (%)
20 3
 
0.1%
19 17
 
0.9%
18 26
 
1.3%
17 76
3.8%
16 66
3.3%

feature_83
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9735
Minimum0
Maximum19
Zeros35
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:54.923959image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q314
95-th percentile17
Maximum19
Range19
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.211465959
Coefficient of variation (CV)0.580761794
Kurtosis-1.389320959
Mean8.9735
Median Absolute Deviation (MAD)5
Skewness-0.001453289998
Sum17947
Variance27.15937744
MonotonicityNot monotonic
2023-11-04T18:16:55.159654image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4 181
 
9.0%
14 174
 
8.7%
3 163
 
8.2%
13 159
 
8.0%
5 148
 
7.4%
12 139
 
7.0%
15 133
 
6.7%
2 130
 
6.5%
16 110
 
5.5%
11 90
 
4.5%
Other values (10) 573
28.6%
ValueCountFrequency (%)
0 35
 
1.8%
1 69
 
3.5%
2 130
6.5%
3 163
8.2%
4 181
9.0%
ValueCountFrequency (%)
19 5
 
0.2%
18 36
 
1.8%
17 72
3.6%
16 110
5.5%
15 133
6.7%

feature_84
Real number (ℝ)

Distinct301
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.5215
Minimum131
Maximum503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:55.344714image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum131
5-th percentile210
Q1283
median329
Q3368
95-th percentile418
Maximum503
Range372
Interquartile range (IQR)85

Descriptive statistics

Standard deviation62.59988747
Coefficient of variation (CV)0.1934952931
Kurtosis-0.1245979262
Mean323.5215
Median Absolute Deviation (MAD)43
Skewness-0.3447075377
Sum647043
Variance3918.745911
MonotonicityNot monotonic
2023-11-04T18:16:55.509321image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
360 22
 
1.1%
309 19
 
0.9%
334 19
 
0.9%
341 18
 
0.9%
354 17
 
0.9%
353 17
 
0.9%
326 17
 
0.9%
336 17
 
0.9%
322 17
 
0.9%
311 17
 
0.9%
Other values (291) 1820
91.0%
ValueCountFrequency (%)
131 1
0.1%
135 1
0.1%
138 2
0.1%
141 2
0.1%
145 1
0.1%
ValueCountFrequency (%)
503 1
0.1%
488 2
0.1%
487 1
0.1%
477 1
0.1%
474 1
0.1%

feature_85
Real number (ℝ)

Distinct460
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341.4935
Minimum98
Maximum725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:55.684214image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum98
5-th percentile190
Q1267
median328.5
Q3395
95-th percentile569.05
Maximum725
Range627
Interquartile range (IQR)128

Descriptive statistics

Standard deviation107.8466616
Coefficient of variation (CV)0.3158088267
Kurtosis0.5251191198
Mean341.4935
Median Absolute Deviation (MAD)64.5
Skewness0.7681997229
Sum682987
Variance11630.90241
MonotonicityNot monotonic
2023-11-04T18:16:55.985344image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
252 14
 
0.7%
295 13
 
0.7%
340 13
 
0.7%
357 13
 
0.7%
282 12
 
0.6%
372 12
 
0.6%
296 12
 
0.6%
393 12
 
0.6%
311 12
 
0.6%
291 12
 
0.6%
Other values (450) 1875
93.8%
ValueCountFrequency (%)
98 1
0.1%
107 1
0.1%
109 2
0.1%
110 1
0.1%
115 1
0.1%
ValueCountFrequency (%)
725 1
0.1%
699 1
0.1%
694 1
0.1%
691 1
0.1%
681 1
0.1%

feature_86
Real number (ℝ)

Distinct427
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean716.0945
Minimum476
Maximum1101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:56.165760image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum476
5-th percentile580
Q1650.75
median701
Q3772
95-th percentile897.05
Maximum1101
Range625
Interquartile range (IQR)121.25

Descriptive statistics

Standard deviation95.91544952
Coefficient of variation (CV)0.1339424469
Kurtosis0.4757272867
Mean716.0945
Median Absolute Deviation (MAD)59
Skewness0.6703345636
Sum1432189
Variance9199.773456
MonotonicityNot monotonic
2023-11-04T18:16:56.287399image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
662 18
 
0.9%
684 15
 
0.8%
645 15
 
0.8%
711 15
 
0.8%
708 15
 
0.8%
651 15
 
0.8%
676 15
 
0.8%
706 14
 
0.7%
674 14
 
0.7%
653 14
 
0.7%
Other values (417) 1850
92.5%
ValueCountFrequency (%)
476 1
0.1%
482 1
0.1%
494 1
0.1%
501 1
0.1%
509 1
0.1%
ValueCountFrequency (%)
1101 1
0.1%
1098 1
0.1%
1096 1
0.1%
1070 1
0.1%
1041 1
0.1%

feature_87
Real number (ℝ)

Distinct448
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean578.614
Minimum381
Maximum947
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:56.402579image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum381
5-th percentile428
Q1486
median565
Q3656
95-th percentile781
Maximum947
Range566
Interquartile range (IQR)170

Descriptive statistics

Standard deviation111.7612961
Coefficient of variation (CV)0.1931534599
Kurtosis-0.4604553612
Mean578.614
Median Absolute Deviation (MAD)82
Skewness0.5097662183
Sum1157228
Variance12490.5873
MonotonicityNot monotonic
2023-11-04T18:16:56.516940image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
509 15
 
0.8%
484 15
 
0.8%
528 12
 
0.6%
490 12
 
0.6%
642 12
 
0.6%
561 12
 
0.6%
493 12
 
0.6%
577 11
 
0.5%
624 11
 
0.5%
483 11
 
0.5%
Other values (438) 1877
93.8%
ValueCountFrequency (%)
381 1
0.1%
382 1
0.1%
384 1
0.1%
385 1
0.1%
386 2
0.1%
ValueCountFrequency (%)
947 1
 
0.1%
918 4
0.2%
905 1
 
0.1%
901 1
 
0.1%
892 2
0.1%

feature_88
Real number (ℝ)

Distinct350
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean722.6915
Minimum481
Maximum1025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:56.815953image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum481
5-th percentile589
Q1674
median731
Q3774
95-th percentile830
Maximum1025
Range544
Interquartile range (IQR)100

Descriptive statistics

Standard deviation74.25673275
Coefficient of variation (CV)0.1027502506
Kurtosis0.1057219541
Mean722.6915
Median Absolute Deviation (MAD)48
Skewness-0.2278784893
Sum1445383
Variance5514.062359
MonotonicityNot monotonic
2023-11-04T18:16:57.164241image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
764 17
 
0.9%
714 17
 
0.9%
742 16
 
0.8%
765 16
 
0.8%
738 16
 
0.8%
777 16
 
0.8%
745 15
 
0.8%
774 15
 
0.8%
724 15
 
0.8%
758 15
 
0.8%
Other values (340) 1842
92.1%
ValueCountFrequency (%)
481 1
0.1%
494 1
0.1%
495 1
0.1%
502 1
0.1%
507 2
0.1%
ValueCountFrequency (%)
1025 1
0.1%
965 2
0.1%
948 1
0.1%
942 1
0.1%
932 1
0.1%

feature_89
Real number (ℝ)

Distinct405
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean861.481
Minimum527
Maximum1084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:57.468717image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum527
5-th percentile676.95
Q1797
median886
Q3935
95-th percentile983
Maximum1084
Range557
Interquartile range (IQR)138

Descriptive statistics

Standard deviation95.78658661
Coefficient of variation (CV)0.1111882753
Kurtosis-0.07898010818
Mean861.481
Median Absolute Deviation (MAD)60
Skewness-0.7697158676
Sum1722962
Variance9175.070174
MonotonicityNot monotonic
2023-11-04T18:16:57.807095image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
915 20
 
1.0%
927 20
 
1.0%
935 18
 
0.9%
907 17
 
0.9%
938 16
 
0.8%
933 16
 
0.8%
873 15
 
0.8%
954 15
 
0.8%
890 15
 
0.8%
917 14
 
0.7%
Other values (395) 1834
91.7%
ValueCountFrequency (%)
527 1
0.1%
532 1
0.1%
557 1
0.1%
567 1
0.1%
569 1
0.1%
ValueCountFrequency (%)
1084 1
 
0.1%
1059 1
 
0.1%
1024 1
 
0.1%
1023 1
 
0.1%
1022 3
0.1%

feature_90
Real number (ℝ)

Distinct42
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.916
Minimum0
Maximum41
Zeros15
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:58.118549image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median18
Q325
95-th percentile34
Maximum41
Range41
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.265952349
Coefficient of variation (CV)0.5171886777
Kurtosis-0.7159341023
Mean17.916
Median Absolute Deviation (MAD)7
Skewness0.2190423927
Sum35832
Variance85.85787294
MonotonicityNot monotonic
2023-11-04T18:16:58.431073image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
16 97
 
4.9%
19 94
 
4.7%
20 90
 
4.5%
28 84
 
4.2%
9 80
 
4.0%
10 77
 
3.9%
6 75
 
3.8%
17 75
 
3.8%
18 68
 
3.4%
12 66
 
3.3%
Other values (32) 1194
59.7%
ValueCountFrequency (%)
0 15
 
0.8%
1 13
 
0.7%
2 25
1.2%
3 27
1.4%
4 45
2.2%
ValueCountFrequency (%)
41 4
 
0.2%
40 9
0.4%
39 13
0.7%
38 13
0.7%
37 16
0.8%

feature_91
Real number (ℝ)

Distinct36
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.762
Minimum2
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:58.718761image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12.95
Q119
median23
Q327
95-th percentile31
Maximum37
Range35
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.56936845
Coefficient of variation (CV)0.2446783433
Kurtosis0.1615123438
Mean22.762
Median Absolute Deviation (MAD)4
Skewness-0.4537679709
Sum45524
Variance31.01786493
MonotonicityNot monotonic
2023-11-04T18:16:58.996432image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
25 177
 
8.8%
24 155
 
7.8%
26 154
 
7.7%
22 135
 
6.8%
20 126
 
6.3%
23 119
 
5.9%
21 119
 
5.9%
27 116
 
5.8%
28 113
 
5.7%
19 104
 
5.2%
Other values (26) 682
34.1%
ValueCountFrequency (%)
2 1
 
0.1%
3 2
0.1%
4 2
0.1%
5 3
0.1%
6 2
0.1%
ValueCountFrequency (%)
37 2
 
0.1%
36 3
 
0.1%
35 5
 
0.2%
34 13
0.7%
33 19
0.9%

feature_92
Real number (ℝ)

Distinct45
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.525
Minimum0
Maximum44
Zeros18
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:59.329997image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median23
Q330
95-th percentile38
Maximum44
Range44
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.84892735
Coefficient of variation (CV)0.5040152078
Kurtosis-1.05195672
Mean21.525
Median Absolute Deviation (MAD)9
Skewness-0.1795428094
Sum43050
Variance117.6992246
MonotonicityNot monotonic
2023-11-04T18:16:59.645810image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
27 83
 
4.2%
31 82
 
4.1%
29 76
 
3.8%
30 71
 
3.5%
7 71
 
3.5%
25 68
 
3.4%
28 67
 
3.4%
26 66
 
3.3%
32 65
 
3.2%
33 62
 
3.1%
Other values (35) 1289
64.5%
ValueCountFrequency (%)
0 18
0.9%
1 22
1.1%
2 30
1.5%
3 32
1.6%
4 30
1.5%
ValueCountFrequency (%)
44 3
 
0.1%
43 1
 
0.1%
42 7
 
0.4%
41 10
0.5%
40 20
1.0%

feature_93
Real number (ℝ)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.039
Minimum0
Maximum24
Zeros11
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:16:59.949316image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median11
Q316
95-th percentile18.05
Maximum24
Range24
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.074874991
Coefficient of variation (CV)0.4597223473
Kurtosis-1.104738785
Mean11.039
Median Absolute Deviation (MAD)4
Skewness-0.02411273729
Sum22078
Variance25.75435618
MonotonicityNot monotonic
2023-11-04T18:17:00.209701image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16 208
 
10.4%
7 187
 
9.3%
8 167
 
8.3%
15 157
 
7.8%
6 147
 
7.3%
17 134
 
6.7%
14 118
 
5.9%
5 113
 
5.7%
9 109
 
5.5%
13 93
 
4.7%
Other values (15) 567
28.3%
ValueCountFrequency (%)
0 11
 
0.5%
1 23
 
1.1%
2 33
1.7%
3 51
2.5%
4 65
3.2%
ValueCountFrequency (%)
24 2
 
0.1%
23 3
 
0.1%
22 3
 
0.1%
21 12
 
0.6%
20 31
1.6%

feature_94
Real number (ℝ)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8585
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:00.479095image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median10
Q312
95-th percentile14
Maximum18
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.896320439
Coefficient of variation (CV)0.2937891605
Kurtosis-0.2880623433
Mean9.8585
Median Absolute Deviation (MAD)2
Skewness-0.3350991864
Sum19717
Variance8.388672086
MonotonicityNot monotonic
2023-11-04T18:17:00.724867image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10 279
14.0%
11 268
13.4%
12 243
12.2%
8 214
10.7%
9 213
10.7%
13 185
9.2%
7 135
6.8%
14 113
5.7%
6 101
 
5.1%
5 77
 
3.9%
Other values (8) 172
8.6%
ValueCountFrequency (%)
1 3
 
0.1%
2 9
 
0.4%
3 26
 
1.3%
4 56
2.8%
5 77
3.9%
ValueCountFrequency (%)
18 1
 
0.1%
17 4
 
0.2%
16 7
 
0.4%
15 66
3.3%
14 113
5.7%

feature_95
Real number (ℝ)

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.0585
Minimum0
Maximum22
Zeros11
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:01.205818image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median14
Q316
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.310262977
Coefficient of variation (CV)0.3300733604
Kurtosis0.5990497923
Mean13.0585
Median Absolute Deviation (MAD)2
Skewness-1.011943867
Sum26117
Variance18.57836693
MonotonicityNot monotonic
2023-11-04T18:17:01.429981image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
16 266
13.3%
15 235
11.8%
14 225
11.2%
17 211
10.5%
13 155
7.8%
12 138
 
6.9%
18 127
 
6.3%
11 119
 
5.9%
10 103
 
5.1%
9 69
 
3.5%
Other values (13) 352
17.6%
ValueCountFrequency (%)
0 11
 
0.5%
1 22
1.1%
2 30
1.5%
3 41
2.1%
4 33
1.7%
ValueCountFrequency (%)
22 5
 
0.2%
21 5
 
0.2%
20 14
 
0.7%
19 46
 
2.3%
18 127
6.3%

feature_96
Real number (ℝ)

Distinct473
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean383.6025
Minimum73
Maximum640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:01.582846image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile159
Q1329.75
median396
Q3456
95-th percentile544
Maximum640
Range567
Interquartile range (IQR)126.25

Descriptive statistics

Standard deviation108.9581132
Coefficient of variation (CV)0.2840391113
Kurtosis0.09360279288
Mean383.6025
Median Absolute Deviation (MAD)63
Skewness-0.5742627329
Sum767205
Variance11871.87043
MonotonicityNot monotonic
2023-11-04T18:17:01.749982image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
416 22
 
1.1%
378 16
 
0.8%
408 14
 
0.7%
392 13
 
0.7%
428 13
 
0.7%
454 13
 
0.7%
355 12
 
0.6%
409 12
 
0.6%
373 12
 
0.6%
414 12
 
0.6%
Other values (463) 1861
93.0%
ValueCountFrequency (%)
73 1
0.1%
81 1
0.1%
87 1
0.1%
88 1
0.1%
91 1
0.1%
ValueCountFrequency (%)
640 1
0.1%
629 1
0.1%
623 1
0.1%
617 2
0.1%
616 1
0.1%

feature_97
Real number (ℝ)

Distinct390
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean305.8995
Minimum99
Maximum623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:01.880033image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile166.95
Q1244.75
median298
Q3362
95-th percentile463.05
Maximum623
Range524
Interquartile range (IQR)117.25

Descriptive statistics

Standard deviation88.72988728
Coefficient of variation (CV)0.2900622174
Kurtosis0.08192764711
Mean305.8995
Median Absolute Deviation (MAD)59
Skewness0.4331572903
Sum611799
Variance7872.992896
MonotonicityNot monotonic
2023-11-04T18:17:02.000518image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
288 18
 
0.9%
273 16
 
0.8%
265 16
 
0.8%
308 15
 
0.8%
306 15
 
0.8%
278 15
 
0.8%
249 14
 
0.7%
269 13
 
0.7%
321 13
 
0.7%
264 13
 
0.7%
Other values (380) 1852
92.6%
ValueCountFrequency (%)
99 1
0.1%
111 1
0.1%
114 1
0.1%
118 1
0.1%
121 1
0.1%
ValueCountFrequency (%)
623 1
0.1%
614 1
0.1%
609 1
0.1%
606 1
0.1%
600 1
0.1%

feature_98
Real number (ℝ)

Distinct352
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean768.7595
Minimum522
Maximum1047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:02.118181image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum522
5-th percentile641.95
Q1714
median774
Q3823
95-th percentile880.05
Maximum1047
Range525
Interquartile range (IQR)109

Descriptive statistics

Standard deviation76.7061704
Coefficient of variation (CV)0.09977915122
Kurtosis-0.01993001857
Mean768.7595
Median Absolute Deviation (MAD)53
Skewness0.003840418615
Sum1537519
Variance5883.836578
MonotonicityNot monotonic
2023-11-04T18:17:02.244994image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
806 17
 
0.9%
775 16
 
0.8%
789 16
 
0.8%
820 15
 
0.8%
740 15
 
0.8%
787 14
 
0.7%
805 14
 
0.7%
818 14
 
0.7%
830 14
 
0.7%
829 14
 
0.7%
Other values (342) 1851
92.5%
ValueCountFrequency (%)
522 1
0.1%
557 1
0.1%
563 1
0.1%
573 1
0.1%
574 1
0.1%
ValueCountFrequency (%)
1047 1
0.1%
1035 1
0.1%
1010 1
0.1%
1005 1
0.1%
999 1
0.1%

feature_99
Real number (ℝ)

Distinct494
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean711.34
Minimum460
Maximum1099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:02.369413image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum460
5-th percentile533
Q1611
median700
Q3800
95-th percentile932.05
Maximum1099
Range639
Interquartile range (IQR)189

Descriptive statistics

Standard deviation124.6729926
Coefficient of variation (CV)0.1752649824
Kurtosis-0.5738579343
Mean711.34
Median Absolute Deviation (MAD)94
Skewness0.3665862202
Sum1422680
Variance15543.35508
MonotonicityNot monotonic
2023-11-04T18:17:02.487422image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
641 10
 
0.5%
702 10
 
0.5%
727 10
 
0.5%
677 10
 
0.5%
753 10
 
0.5%
602 10
 
0.5%
594 10
 
0.5%
551 10
 
0.5%
610 9
 
0.4%
696 9
 
0.4%
Other values (484) 1902
95.1%
ValueCountFrequency (%)
460 1
 
0.1%
462 1
 
0.1%
467 1
 
0.1%
474 3
0.1%
476 1
 
0.1%
ValueCountFrequency (%)
1099 1
 
0.1%
1070 4
0.2%
1057 1
 
0.1%
1053 1
 
0.1%
1044 2
0.1%

feature_100
Real number (ℝ)

Distinct268
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean748.8825
Minimum554
Maximum921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:02.604354image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum554
5-th percentile657
Q1718
median752
Q3786
95-th percentile824
Maximum921
Range367
Interquartile range (IQR)68

Descriptive statistics

Standard deviation51.21982457
Coefficient of variation (CV)0.06839500799
Kurtosis0.4424117351
Mean748.8825
Median Absolute Deviation (MAD)34
Skewness-0.2755032298
Sum1497765
Variance2623.470429
MonotonicityNot monotonic
2023-11-04T18:17:02.732682image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
755 27
 
1.4%
786 23
 
1.1%
750 23
 
1.1%
734 21
 
1.1%
744 21
 
1.1%
736 21
 
1.1%
754 20
 
1.0%
740 20
 
1.0%
792 20
 
1.0%
752 20
 
1.0%
Other values (258) 1784
89.2%
ValueCountFrequency (%)
554 1
0.1%
569 1
0.1%
570 1
0.1%
572 2
0.1%
592 1
0.1%
ValueCountFrequency (%)
921 1
0.1%
917 1
0.1%
908 1
0.1%
905 1
0.1%
904 1
0.1%

feature_101
Real number (ℝ)

Distinct394
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean947.641
Minimum618
Maximum1148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:02.976617image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum618
5-th percentile769
Q1886
median975
Q31019
95-th percentile1065
Maximum1148
Range530
Interquartile range (IQR)133

Descriptive statistics

Standard deviation93.32221406
Coefficient of variation (CV)0.09847844707
Kurtosis0.03310832692
Mean947.641
Median Absolute Deviation (MAD)57
Skewness-0.818203189
Sum1895282
Variance8709.035637
MonotonicityNot monotonic
2023-11-04T18:17:03.242049image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1015 20
 
1.0%
1009 18
 
0.9%
1006 17
 
0.9%
995 16
 
0.8%
987 16
 
0.8%
971 15
 
0.8%
1025 15
 
0.8%
999 14
 
0.7%
993 14
 
0.7%
1028 14
 
0.7%
Other values (384) 1841
92.0%
ValueCountFrequency (%)
618 1
0.1%
627 1
0.1%
637 1
0.1%
643 1
0.1%
645 1
0.1%
ValueCountFrequency (%)
1148 1
0.1%
1139 1
0.1%
1104 2
0.1%
1101 1
0.1%
1098 1
0.1%

feature_102
Real number (ℝ)

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.32
Minimum3
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:03.445505image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q117
median21
Q329
95-th percentile37
Maximum41
Range38
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.848205771
Coefficient of variation (CV)0.3964249898
Kurtosis-0.7562241772
Mean22.32
Median Absolute Deviation (MAD)7
Skewness-0.01772070635
Sum44640
Variance78.29074537
MonotonicityNot monotonic
2023-11-04T18:17:03.652584image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20 162
 
8.1%
19 132
 
6.6%
21 116
 
5.8%
18 115
 
5.8%
28 81
 
4.0%
36 67
 
3.4%
26 66
 
3.3%
29 65
 
3.2%
32 63
 
3.1%
16 60
 
3.0%
Other values (29) 1073
53.6%
ValueCountFrequency (%)
3 11
 
0.5%
4 25
1.2%
5 17
0.9%
6 23
1.1%
7 41
2.1%
ValueCountFrequency (%)
41 2
 
0.1%
40 8
 
0.4%
39 14
 
0.7%
38 35
1.8%
37 48
2.4%

feature_103
Real number (ℝ)

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.183
Minimum0
Maximum43
Zeros5
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:04.005651image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q115
median20
Q327
95-th percentile38
Maximum43
Range43
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.036943298
Coefficient of variation (CV)0.4266130056
Kurtosis-0.472002454
Mean21.183
Median Absolute Deviation (MAD)6
Skewness0.2179506554
Sum42366
Variance81.66634417
MonotonicityNot monotonic
2023-11-04T18:17:04.131990image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
21 116
 
5.8%
19 107
 
5.3%
17 95
 
4.8%
18 93
 
4.7%
20 90
 
4.5%
16 87
 
4.3%
15 86
 
4.3%
24 80
 
4.0%
22 73
 
3.6%
25 69
 
3.5%
Other values (34) 1104
55.2%
ValueCountFrequency (%)
0 5
0.2%
1 10
0.5%
2 8
0.4%
3 11
0.5%
4 2
 
0.1%
ValueCountFrequency (%)
43 1
 
0.1%
42 2
 
0.1%
41 17
0.9%
40 24
1.2%
39 38
1.9%

feature_104
Real number (ℝ)

Distinct46
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.682
Minimum0
Maximum45
Zeros11
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:04.249258image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median23
Q330
95-th percentile39
Maximum45
Range45
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.20150047
Coefficient of variation (CV)0.5166267167
Kurtosis-1.063298113
Mean21.682
Median Absolute Deviation (MAD)9
Skewness-0.1403469748
Sum43364
Variance125.4736128
MonotonicityNot monotonic
2023-11-04T18:17:04.361735image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
30 97
 
4.9%
26 84
 
4.2%
31 75
 
3.8%
29 74
 
3.7%
8 66
 
3.3%
28 66
 
3.3%
9 66
 
3.3%
27 61
 
3.0%
25 60
 
3.0%
32 58
 
2.9%
Other values (36) 1293
64.6%
ValueCountFrequency (%)
0 11
 
0.5%
1 37
1.8%
2 35
1.8%
3 30
1.5%
4 35
1.8%
ValueCountFrequency (%)
45 3
 
0.1%
44 1
 
0.1%
43 7
 
0.4%
42 10
0.5%
41 20
1.0%

feature_105
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.135
Minimum0
Maximum23
Zeros107
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:04.567758image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median9
Q311
95-th percentile15
Maximum23
Range23
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.81875349
Coefficient of variation (CV)0.5923483085
Kurtosis-0.6839011598
Mean8.135
Median Absolute Deviation (MAD)3
Skewness-0.07923895636
Sum16270
Variance23.22038519
MonotonicityNot monotonic
2023-11-04T18:17:04.766635image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9 219
10.9%
10 208
10.4%
11 195
9.8%
1 193
9.7%
8 181
 
9.0%
12 123
 
6.2%
2 116
 
5.8%
13 113
 
5.7%
0 107
 
5.3%
14 83
 
4.2%
Other values (13) 462
23.1%
ValueCountFrequency (%)
0 107
5.3%
1 193
9.7%
2 116
5.8%
3 69
 
3.5%
4 62
 
3.1%
ValueCountFrequency (%)
23 1
 
0.1%
21 6
 
0.3%
20 9
0.4%
19 13
0.7%
18 15
0.8%

feature_106
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.7385
Minimum0
Maximum21
Zeros36
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:04.953567image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median11
Q314
95-th percentile18
Maximum21
Range21
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.779491555
Coefficient of variation (CV)0.4450799976
Kurtosis-0.3877107751
Mean10.7385
Median Absolute Deviation (MAD)3
Skewness-0.3863241838
Sum21477
Variance22.84353952
MonotonicityNot monotonic
2023-11-04T18:17:05.139853image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10 201
 
10.1%
11 184
 
9.2%
9 177
 
8.8%
12 163
 
8.2%
13 142
 
7.1%
15 121
 
6.0%
16 116
 
5.8%
14 116
 
5.8%
8 114
 
5.7%
17 95
 
4.8%
Other values (12) 571
28.5%
ValueCountFrequency (%)
0 36
 
1.8%
1 91
4.5%
2 42
2.1%
3 47
2.4%
4 30
 
1.5%
ValueCountFrequency (%)
21 1
 
0.1%
20 16
 
0.8%
19 40
2.0%
18 87
4.3%
17 95
4.8%

feature_107
Real number (ℝ)

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.1935
Minimum2
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:05.335579image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q110
median14
Q317
95-th percentile19
Maximum21
Range19
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.445665273
Coefficient of variation (CV)0.3369587504
Kurtosis-0.7859914265
Mean13.1935
Median Absolute Deviation (MAD)3
Skewness-0.531811857
Sum26387
Variance19.76393972
MonotonicityNot monotonic
2023-11-04T18:17:05.516125image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
17 282
14.1%
18 212
10.6%
16 212
10.6%
11 150
 
7.5%
15 116
 
5.8%
12 116
 
5.8%
10 114
 
5.7%
19 113
 
5.7%
13 113
 
5.7%
9 95
 
4.8%
Other values (10) 477
23.8%
ValueCountFrequency (%)
2 3
 
0.1%
3 30
1.5%
4 54
2.7%
5 46
2.3%
6 62
3.1%
ValueCountFrequency (%)
21 1
 
0.1%
20 27
 
1.4%
19 113
5.7%
18 212
10.6%
17 282
14.1%

feature_108
Real number (ℝ)

Distinct450
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355.3445
Minimum128
Maximum643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:05.677963image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum128
5-th percentile192
Q1267
median353.5
Q3425
95-th percentile541
Maximum643
Range515
Interquartile range (IQR)158

Descriptive statistics

Standard deviation106.8785963
Coefficient of variation (CV)0.3007745899
Kurtosis-0.6418710015
Mean355.3445
Median Absolute Deviation (MAD)81
Skewness0.2473415502
Sum710689
Variance11423.03434
MonotonicityNot monotonic
2023-11-04T18:17:05.838244image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
395 15
 
0.8%
320 14
 
0.7%
248 13
 
0.7%
258 13
 
0.7%
449 12
 
0.6%
342 12
 
0.6%
231 12
 
0.6%
366 12
 
0.6%
399 11
 
0.5%
331 11
 
0.5%
Other values (440) 1875
93.8%
ValueCountFrequency (%)
128 1
0.1%
129 1
0.1%
134 1
0.1%
136 1
0.1%
138 1
0.1%
ValueCountFrequency (%)
643 1
0.1%
633 1
0.1%
629 2
0.1%
622 1
0.1%
621 1
0.1%

feature_109
Real number (ℝ)

Distinct342
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.2215
Minimum110
Maximum549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:05.999547image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile156.95
Q1216.75
median270
Q3323
95-th percentile409
Maximum549
Range439
Interquartile range (IQR)106.25

Descriptive statistics

Standard deviation76.75359272
Coefficient of variation (CV)0.2809207647
Kurtosis-0.2861920025
Mean273.2215
Median Absolute Deviation (MAD)53
Skewness0.3178803128
Sum546443
Variance5891.113995
MonotonicityNot monotonic
2023-11-04T18:17:06.169164image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
312 17
 
0.9%
264 16
 
0.8%
288 15
 
0.8%
222 15
 
0.8%
293 15
 
0.8%
281 15
 
0.8%
188 14
 
0.7%
221 14
 
0.7%
321 14
 
0.7%
239 14
 
0.7%
Other values (332) 1851
92.5%
ValueCountFrequency (%)
110 1
 
0.1%
111 1
 
0.1%
114 3
0.1%
120 2
0.1%
121 2
0.1%
ValueCountFrequency (%)
549 1
0.1%
502 1
0.1%
498 1
0.1%
497 2
0.1%
496 1
0.1%

feature_110
Real number (ℝ)

Distinct590
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean756.9605
Minimum440
Maximum1268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:06.305284image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum440
5-th percentile530
Q1630.75
median753
Q3872
95-th percentile1012
Maximum1268
Range828
Interquartile range (IQR)241.25

Descriptive statistics

Standard deviation153.5100635
Coefficient of variation (CV)0.2027979842
Kurtosis-0.6716158281
Mean756.9605
Median Absolute Deviation (MAD)120
Skewness0.2409651889
Sum1513921
Variance23565.33961
MonotonicityNot monotonic
2023-11-04T18:17:06.433490image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
898 11
 
0.5%
597 10
 
0.5%
662 10
 
0.5%
918 9
 
0.4%
797 9
 
0.4%
712 9
 
0.4%
608 9
 
0.4%
886 9
 
0.4%
841 9
 
0.4%
820 8
 
0.4%
Other values (580) 1907
95.3%
ValueCountFrequency (%)
440 1
0.1%
455 1
0.1%
459 1
0.1%
462 1
0.1%
464 1
0.1%
ValueCountFrequency (%)
1268 1
0.1%
1223 1
0.1%
1208 1
0.1%
1198 1
0.1%
1197 1
0.1%

feature_111
Real number (ℝ)

Distinct297
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.899
Minimum574
Maximum1043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:06.556907image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum574
5-th percentile680
Q1769.75
median818
Q3849
95-th percentile882
Maximum1043
Range469
Interquartile range (IQR)79.25

Descriptive statistics

Standard deviation62.61193917
Coefficient of variation (CV)0.07788533033
Kurtosis0.2684048724
Mean803.899
Median Absolute Deviation (MAD)36
Skewness-0.7575355209
Sum1607798
Variance3920.254926
MonotonicityNot monotonic
2023-11-04T18:17:06.693426image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
858 23
 
1.1%
844 23
 
1.1%
850 22
 
1.1%
816 21
 
1.1%
847 21
 
1.1%
837 21
 
1.1%
845 21
 
1.1%
832 21
 
1.1%
833 20
 
1.0%
846 19
 
0.9%
Other values (287) 1788
89.4%
ValueCountFrequency (%)
574 1
0.1%
596 1
0.1%
605 1
0.1%
608 1
0.1%
612 1
0.1%
ValueCountFrequency (%)
1043 1
0.1%
970 1
0.1%
952 2
0.1%
949 1
0.1%
947 1
0.1%

feature_112
Real number (ℝ)

Distinct407
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean952.4655
Minimum617
Maximum1135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:06.974217image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum617
5-th percentile744
Q1905
median979
Q31024
95-th percentile1071
Maximum1135
Range518
Interquartile range (IQR)119

Descriptive statistics

Standard deviation99.81616825
Coefficient of variation (CV)0.1047976732
Kurtosis0.361380461
Mean952.4655
Median Absolute Deviation (MAD)53
Skewness-1.009243227
Sum1904931
Variance9963.267443
MonotonicityNot monotonic
2023-11-04T18:17:07.610259image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1009 22
 
1.1%
997 18
 
0.9%
987 18
 
0.9%
1041 16
 
0.8%
1010 16
 
0.8%
1012 16
 
0.8%
1000 16
 
0.8%
1019 15
 
0.8%
955 15
 
0.8%
989 15
 
0.8%
Other values (397) 1833
91.6%
ValueCountFrequency (%)
617 1
 
0.1%
618 1
 
0.1%
627 2
0.1%
637 3
0.1%
639 1
 
0.1%
ValueCountFrequency (%)
1135 1
0.1%
1129 1
0.1%
1112 1
0.1%
1111 1
0.1%
1110 1
0.1%

feature_113
Real number (ℝ)

Distinct401
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean770.153
Minimum536
Maximum1099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:07.968743image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum536
5-th percentile626.95
Q1727.75
median765
Q3811
95-th percentile920.05
Maximum1099
Range563
Interquartile range (IQR)83.25

Descriptive statistics

Standard deviation81.68683468
Coefficient of variation (CV)0.1060657229
Kurtosis1.13243121
Mean770.153
Median Absolute Deviation (MAD)41
Skewness0.3778355828
Sum1540306
Variance6672.73896
MonotonicityNot monotonic
2023-11-04T18:17:08.343004image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
768 21
 
1.1%
772 20
 
1.0%
751 20
 
1.0%
753 19
 
0.9%
761 19
 
0.9%
762 19
 
0.9%
742 17
 
0.9%
757 17
 
0.9%
770 17
 
0.9%
738 17
 
0.9%
Other values (391) 1814
90.7%
ValueCountFrequency (%)
536 1
0.1%
543 1
0.1%
546 1
0.1%
547 1
0.1%
555 1
0.1%
ValueCountFrequency (%)
1099 1
0.1%
1080 1
0.1%
1073 1
0.1%
1064 1
0.1%
1061 1
0.1%

feature_114
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.344
Minimum0
Maximum43
Zeros25
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:08.716174image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median20
Q328
95-th percentile36
Maximum43
Range43
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.412006
Coefficient of variation (CV)0.5382550661
Kurtosis-0.9430183923
Mean19.344
Median Absolute Deviation (MAD)8
Skewness-0.04501111709
Sum38688
Variance108.4098689
MonotonicityNot monotonic
2023-11-04T18:17:09.043730image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
26 92
 
4.6%
27 81
 
4.0%
8 81
 
4.0%
28 76
 
3.8%
30 74
 
3.7%
29 70
 
3.5%
18 70
 
3.5%
23 67
 
3.4%
31 65
 
3.2%
10 64
 
3.2%
Other values (34) 1260
63.0%
ValueCountFrequency (%)
0 25
1.2%
1 43
2.1%
2 34
1.7%
3 44
2.2%
4 44
2.2%
ValueCountFrequency (%)
43 4
 
0.2%
42 6
 
0.3%
41 15
0.8%
40 12
0.6%
39 18
0.9%

feature_115
Real number (ℝ)

Distinct30
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.292
Minimum2
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:09.352936image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q117
median21
Q324
95-th percentile28
Maximum32
Range30
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.812412665
Coefficient of variation (CV)0.2371581246
Kurtosis-0.01843656617
Mean20.292
Median Absolute Deviation (MAD)3
Skewness-0.3393475579
Sum40584
Variance23.15931566
MonotonicityNot monotonic
2023-11-04T18:17:09.730533image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
23 188
 
9.4%
22 183
 
9.2%
24 171
 
8.6%
21 157
 
7.8%
20 148
 
7.4%
18 143
 
7.1%
19 115
 
5.8%
17 115
 
5.8%
25 97
 
4.9%
16 96
 
4.8%
Other values (20) 587
29.3%
ValueCountFrequency (%)
2 1
 
0.1%
4 1
 
0.1%
5 2
 
0.1%
6 4
0.2%
7 6
0.3%
ValueCountFrequency (%)
32 7
 
0.4%
31 12
 
0.6%
30 24
1.2%
29 20
1.0%
28 43
2.1%

feature_116
Real number (ℝ)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.267
Minimum0
Maximum40
Zeros16
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:10.115706image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median21
Q329
95-th percentile36
Maximum40
Range40
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.38463439
Coefficient of variation (CV)0.5123912955
Kurtosis-0.9723741733
Mean20.267
Median Absolute Deviation (MAD)8
Skewness-0.1829941372
Sum40534
Variance107.8406313
MonotonicityNot monotonic
2023-11-04T18:17:10.484694image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
29 87
 
4.3%
30 78
 
3.9%
24 76
 
3.8%
26 71
 
3.5%
20 70
 
3.5%
16 69
 
3.5%
23 67
 
3.4%
31 64
 
3.2%
22 63
 
3.1%
19 61
 
3.0%
Other values (31) 1294
64.7%
ValueCountFrequency (%)
0 16
 
0.8%
1 52
2.6%
2 41
2.1%
3 33
1.7%
4 38
1.9%
ValueCountFrequency (%)
40 13
 
0.7%
39 16
0.8%
38 21
1.1%
37 39
1.9%
36 25
1.2%

feature_117
Real number (ℝ)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.32
Minimum2
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:10.782520image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q314
95-th percentile16
Maximum20
Range18
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.761871321
Coefficient of variation (CV)0.3645224149
Kurtosis-1.113844601
Mean10.32
Median Absolute Deviation (MAD)3
Skewness-0.1166843362
Sum20640
Variance14.15167584
MonotonicityNot monotonic
2023-11-04T18:17:11.039203image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
14 240
12.0%
13 228
11.4%
7 182
9.1%
6 175
8.8%
12 161
8.1%
8 159
8.0%
15 152
7.6%
9 122
 
6.1%
5 121
 
6.0%
11 121
 
6.0%
Other values (8) 339
17.0%
ValueCountFrequency (%)
2 10
 
0.5%
3 25
 
1.2%
4 75
3.8%
5 121
6.0%
6 175
8.8%
ValueCountFrequency (%)
20 1
 
0.1%
18 11
 
0.5%
17 43
 
2.1%
16 65
3.2%
15 152
7.6%

feature_118
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1895
Minimum0
Maximum22
Zeros72
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:11.331216image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q314
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.533796274
Coefficient of variation (CV)0.6021868735
Kurtosis-1.037663532
Mean9.1895
Median Absolute Deviation (MAD)4
Skewness-0.01051801624
Sum18379
Variance30.6229012
MonotonicityNot monotonic
2023-11-04T18:17:11.613816image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10 166
 
8.3%
1 157
 
7.8%
11 130
 
6.5%
9 128
 
6.4%
2 126
 
6.3%
8 123
 
6.2%
12 115
 
5.8%
13 103
 
5.1%
3 102
 
5.1%
16 101
 
5.1%
Other values (13) 749
37.5%
ValueCountFrequency (%)
0 72
3.6%
1 157
7.8%
2 126
6.3%
3 102
5.1%
4 73
3.6%
ValueCountFrequency (%)
22 1
 
0.1%
21 10
 
0.5%
20 20
 
1.0%
19 35
1.8%
18 61
3.0%

feature_119
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7675
Minimum0
Maximum23
Zeros160
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:11.853437image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q310
95-th percentile18
Maximum23
Range23
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.43426254
Coefficient of variation (CV)0.8029940953
Kurtosis-0.193974544
Mean6.7675
Median Absolute Deviation (MAD)4
Skewness0.6777770088
Sum13535
Variance29.53120935
MonotonicityNot monotonic
2023-11-04T18:17:12.056364image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 302
15.1%
2 198
9.9%
9 189
9.4%
10 178
8.9%
8 175
 
8.8%
0 160
 
8.0%
3 107
 
5.3%
11 96
 
4.8%
6 78
 
3.9%
7 75
 
3.8%
Other values (14) 442
22.1%
ValueCountFrequency (%)
0 160
8.0%
1 302
15.1%
2 198
9.9%
3 107
 
5.3%
4 71
 
3.5%
ValueCountFrequency (%)
23 2
 
0.1%
22 7
 
0.4%
21 15
0.8%
20 29
1.5%
19 36
1.8%

feature_120
Real number (ℝ)

Distinct279
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean319.9235
Minimum137
Maximum479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:12.166365image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum137
5-th percentile226
Q1283
median319
Q3358
95-th percentile412.05
Maximum479
Range342
Interquartile range (IQR)75

Descriptive statistics

Standard deviation55.8813118
Coefficient of variation (CV)0.1746708566
Kurtosis-0.04989096673
Mean319.9235
Median Absolute Deviation (MAD)37
Skewness-0.06583579306
Sum639847
Variance3122.721008
MonotonicityNot monotonic
2023-11-04T18:17:12.285065image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
281 21
 
1.1%
297 20
 
1.0%
307 20
 
1.0%
302 20
 
1.0%
330 19
 
0.9%
299 19
 
0.9%
341 19
 
0.9%
319 18
 
0.9%
310 18
 
0.9%
283 18
 
0.9%
Other values (269) 1808
90.4%
ValueCountFrequency (%)
137 1
0.1%
146 1
0.1%
148 1
0.1%
154 1
0.1%
157 2
0.1%
ValueCountFrequency (%)
479 1
0.1%
473 1
0.1%
470 1
0.1%
469 2
0.1%
467 1
0.1%

feature_121
Real number (ℝ)

Distinct341
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303.9905
Minimum98
Maximum666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:12.401952image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum98
5-th percentile187
Q1255
median304
Q3352
95-th percentile424
Maximum666
Range568
Interquartile range (IQR)97

Descriptive statistics

Standard deviation72.03478267
Coefficient of variation (CV)0.2369639271
Kurtosis0.1310836664
Mean303.9905
Median Absolute Deviation (MAD)48.5
Skewness0.1540307475
Sum607981
Variance5189.009915
MonotonicityNot monotonic
2023-11-04T18:17:12.520479image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261 22
 
1.1%
298 20
 
1.0%
267 17
 
0.9%
307 17
 
0.9%
257 16
 
0.8%
296 16
 
0.8%
316 16
 
0.8%
334 15
 
0.8%
270 15
 
0.8%
319 14
 
0.7%
Other values (331) 1832
91.6%
ValueCountFrequency (%)
98 1
0.1%
107 1
0.1%
110 1
0.1%
115 1
0.1%
118 1
0.1%
ValueCountFrequency (%)
666 1
0.1%
556 1
0.1%
544 1
0.1%
524 1
0.1%
509 1
0.1%

feature_122
Real number (ℝ)

Distinct548
Distinct (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean620.4715
Minimum362
Maximum1114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:12.636837image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum362
5-th percentile421
Q1500.75
median608.5
Q3726
95-th percentile860.05
Maximum1114
Range752
Interquartile range (IQR)225.25

Descriptive statistics

Standard deviation140.9247994
Coefficient of variation (CV)0.2271253384
Kurtosis-0.576433084
Mean620.4715
Median Absolute Deviation (MAD)112.5
Skewness0.3771454207
Sum1240943
Variance19859.79909
MonotonicityNot monotonic
2023-11-04T18:17:12.844412image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442 12
 
0.6%
687 12
 
0.6%
435 10
 
0.5%
557 10
 
0.5%
736 10
 
0.5%
464 10
 
0.5%
479 10
 
0.5%
752 9
 
0.4%
445 9
 
0.4%
538 9
 
0.4%
Other values (538) 1899
95.0%
ValueCountFrequency (%)
362 1
0.1%
367 1
0.1%
372 2
0.1%
373 1
0.1%
376 1
0.1%
ValueCountFrequency (%)
1114 1
0.1%
1069 1
0.1%
1054 1
0.1%
1044 1
0.1%
1043 1
0.1%

feature_123
Real number (ℝ)

Distinct398
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.307
Minimum459
Maximum1082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:12.970571image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum459
5-th percentile597
Q1664
median716
Q3789
95-th percentile882.05
Maximum1082
Range623
Interquartile range (IQR)125

Descriptive statistics

Standard deviation88.86473553
Coefficient of variation (CV)0.1221832535
Kurtosis-0.01073743232
Mean727.307
Median Absolute Deviation (MAD)59.5
Skewness0.3981764338
Sum1454614
Variance7896.941222
MonotonicityNot monotonic
2023-11-04T18:17:13.286583image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
681 20
 
1.0%
689 16
 
0.8%
703 14
 
0.7%
673 14
 
0.7%
698 14
 
0.7%
727 14
 
0.7%
704 14
 
0.7%
711 13
 
0.7%
628 13
 
0.7%
647 13
 
0.7%
Other values (388) 1855
92.8%
ValueCountFrequency (%)
459 1
0.1%
504 1
0.1%
508 1
0.1%
510 1
0.1%
516 1
0.1%
ValueCountFrequency (%)
1082 1
0.1%
1035 1
0.1%
1028 1
0.1%
1016 1
0.1%
1007 1
0.1%

feature_124
Real number (ℝ)

Distinct411
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean868.6855
Minimum523
Maximum1045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:13.630027image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum523
5-th percentile660.95
Q1818
median895
Q3943
95-th percentile991
Maximum1045
Range522
Interquartile range (IQR)125

Descriptive statistics

Standard deviation101.5045525
Coefficient of variation (CV)0.116848448
Kurtosis0.06762035967
Mean868.6855
Median Absolute Deviation (MAD)56
Skewness-0.9245696758
Sum1737371
Variance10303.17418
MonotonicityNot monotonic
2023-11-04T18:17:13.996405image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
929 17
 
0.9%
946 16
 
0.8%
885 15
 
0.8%
925 15
 
0.8%
908 15
 
0.8%
889 14
 
0.7%
939 14
 
0.7%
935 14
 
0.7%
918 14
 
0.7%
978 14
 
0.7%
Other values (401) 1852
92.6%
ValueCountFrequency (%)
523 1
0.1%
548 1
0.1%
551 1
0.1%
559 2
0.1%
560 1
0.1%
ValueCountFrequency (%)
1045 1
0.1%
1044 1
0.1%
1043 1
0.1%
1032 1
0.1%
1029 1
0.1%

feature_125
Real number (ℝ)

Distinct374
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean717.641
Minimum499
Maximum1035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:14.522162image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum499
5-th percentile591.95
Q1658
median725
Q3770
95-th percentile841
Maximum1035
Range536
Interquartile range (IQR)112

Descriptive statistics

Standard deviation79.84249828
Coefficient of variation (CV)0.1112568795
Kurtosis0.2514513096
Mean717.641
Median Absolute Deviation (MAD)55
Skewness0.1645967744
Sum1435282
Variance6374.824531
MonotonicityNot monotonic
2023-11-04T18:17:14.899124image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
746 20
 
1.0%
754 19
 
0.9%
744 17
 
0.9%
705 16
 
0.8%
748 16
 
0.8%
728 15
 
0.8%
756 15
 
0.8%
787 15
 
0.8%
752 14
 
0.7%
735 14
 
0.7%
Other values (364) 1839
92.0%
ValueCountFrequency (%)
499 1
0.1%
502 1
0.1%
506 2
0.1%
509 1
0.1%
517 2
0.1%
ValueCountFrequency (%)
1035 1
0.1%
1025 1
0.1%
1001 1
0.1%
991 1
0.1%
982 1
0.1%

feature_126
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.544
Minimum0
Maximum42
Zeros32
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:15.074976image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median19
Q326
95-th percentile34
Maximum42
Range42
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.05438259
Coefficient of variation (CV)0.5421906057
Kurtosis-0.9211903167
Mean18.544
Median Absolute Deviation (MAD)8
Skewness-0.0525287684
Sum37088
Variance101.0906093
MonotonicityNot monotonic
2023-11-04T18:17:15.270825image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
25 90
 
4.5%
24 88
 
4.4%
27 80
 
4.0%
9 79
 
4.0%
28 79
 
4.0%
23 74
 
3.7%
29 70
 
3.5%
15 67
 
3.4%
26 66
 
3.3%
19 63
 
3.1%
Other values (33) 1244
62.2%
ValueCountFrequency (%)
0 32
1.6%
1 47
2.4%
2 42
2.1%
3 54
2.7%
4 45
2.2%
ValueCountFrequency (%)
42 2
 
0.1%
41 4
 
0.2%
40 13
0.7%
39 15
0.8%
38 13
0.7%

feature_127
Real number (ℝ)

Distinct32
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.642
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:15.598787image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q119
median23
Q327
95-th percentile30
Maximum35
Range33
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.311774042
Coefficient of variation (CV)0.2345982706
Kurtosis0.04994387662
Mean22.642
Median Absolute Deviation (MAD)4
Skewness-0.6039053066
Sum45284
Variance28.21494347
MonotonicityNot monotonic
2023-11-04T18:17:15.854641image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
25 154
 
7.7%
23 150
 
7.5%
24 149
 
7.4%
27 143
 
7.1%
21 142
 
7.1%
26 139
 
7.0%
22 126
 
6.3%
29 125
 
6.2%
19 121
 
6.0%
28 117
 
5.9%
Other values (22) 634
31.7%
ValueCountFrequency (%)
2 1
 
0.1%
5 1
 
0.1%
6 3
0.1%
7 6
0.3%
8 6
0.3%
ValueCountFrequency (%)
35 2
 
0.1%
34 3
 
0.1%
33 5
 
0.2%
32 17
0.9%
31 39
1.9%

feature_128
Real number (ℝ)

Distinct45
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.927
Minimum0
Maximum44
Zeros14
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:16.155806image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median16
Q324
95-th percentile35
Maximum44
Range44
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.682021575
Coefficient of variation (CV)0.5719868597
Kurtosis-0.5662276797
Mean16.927
Median Absolute Deviation (MAD)7
Skewness0.4409015053
Sum33854
Variance93.74154177
MonotonicityNot monotonic
2023-11-04T18:17:16.429191image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
10 94
 
4.7%
6 89
 
4.5%
11 87
 
4.3%
12 83
 
4.2%
19 82
 
4.1%
16 74
 
3.7%
18 71
 
3.5%
8 71
 
3.5%
9 70
 
3.5%
14 66
 
3.3%
Other values (35) 1213
60.7%
ValueCountFrequency (%)
0 14
 
0.7%
1 20
1.0%
2 36
1.8%
3 42
2.1%
4 49
2.5%
ValueCountFrequency (%)
44 1
 
0.1%
43 3
 
0.1%
42 8
0.4%
41 8
0.4%
40 6
0.3%

feature_129
Real number (ℝ)

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.834
Minimum0
Maximum24
Zeros16
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:16.675236image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median12
Q316
95-th percentile18
Maximum24
Range24
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.731028991
Coefficient of variation (CV)0.3997827439
Kurtosis-0.5433303736
Mean11.834
Median Absolute Deviation (MAD)4
Skewness-0.4157546369
Sum23668
Variance22.38263532
MonotonicityNot monotonic
2023-11-04T18:17:16.866829image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
16 178
 
8.9%
11 172
 
8.6%
17 167
 
8.3%
10 154
 
7.7%
15 142
 
7.1%
18 136
 
6.8%
9 129
 
6.5%
13 128
 
6.4%
12 123
 
6.2%
14 111
 
5.5%
Other values (13) 560
28.0%
ValueCountFrequency (%)
0 16
 
0.8%
1 29
1.5%
2 45
2.2%
3 41
2.1%
4 38
1.9%
ValueCountFrequency (%)
24 1
 
0.1%
21 6
 
0.3%
20 20
 
1.0%
19 55
2.8%
18 136
6.8%

feature_130
Real number (ℝ)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6825
Minimum0
Maximum18
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:17.060772image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median10
Q312
95-th percentile14
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.820934701
Coefficient of variation (CV)0.2913436303
Kurtosis-0.1998076264
Mean9.6825
Median Absolute Deviation (MAD)2
Skewness-0.09112889289
Sum19365
Variance7.957672586
MonotonicityNot monotonic
2023-11-04T18:17:17.233367image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
11 271
13.6%
10 259
13.0%
12 244
12.2%
9 236
11.8%
7 210
10.5%
8 209
10.4%
6 146
7.3%
13 131
6.6%
14 97
 
4.9%
5 52
 
2.6%
Other values (9) 145
7.2%
ValueCountFrequency (%)
0 1
 
0.1%
1 3
 
0.1%
2 7
 
0.4%
3 18
0.9%
4 41
2.1%
ValueCountFrequency (%)
18 3
 
0.1%
17 9
 
0.4%
16 16
 
0.8%
15 47
2.4%
14 97
4.9%

feature_131
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.1785
Minimum0
Maximum25
Zeros31
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:17.381233image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q315
95-th percentile17
Maximum25
Range25
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.128624489
Coefficient of variation (CV)0.503868398
Kurtosis-0.9222899533
Mean10.1785
Median Absolute Deviation (MAD)4
Skewness0.02975400741
Sum20357
Variance26.30278914
MonotonicityNot monotonic
2023-11-04T18:17:17.741446image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
14 211
10.5%
15 196
 
9.8%
7 176
 
8.8%
6 173
 
8.6%
16 160
 
8.0%
5 157
 
7.8%
13 117
 
5.9%
8 114
 
5.7%
4 98
 
4.9%
12 92
 
4.6%
Other values (16) 506
25.3%
ValueCountFrequency (%)
0 31
 
1.6%
1 43
2.1%
2 45
2.2%
3 59
2.9%
4 98
4.9%
ValueCountFrequency (%)
25 2
 
0.1%
24 5
 
0.2%
23 5
 
0.2%
22 7
0.4%
21 13
0.7%

feature_132
Real number (ℝ)

Distinct364
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.0175
Minimum87
Maximum553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:17.848300image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile187
Q1246
median287
Q3345
95-th percentile471
Maximum553
Range466
Interquartile range (IQR)99

Descriptive statistics

Standard deviation83.25275193
Coefficient of variation (CV)0.2756553906
Kurtosis0.04836296915
Mean302.0175
Median Absolute Deviation (MAD)47
Skewness0.6770963349
Sum604035
Variance6931.020704
MonotonicityNot monotonic
2023-11-04T18:17:18.066507image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261 20
 
1.0%
296 19
 
0.9%
292 19
 
0.9%
286 19
 
0.9%
266 17
 
0.9%
249 16
 
0.8%
269 16
 
0.8%
275 16
 
0.8%
295 16
 
0.8%
285 16
 
0.8%
Other values (354) 1826
91.3%
ValueCountFrequency (%)
87 1
0.1%
92 1
0.1%
111 2
0.1%
114 1
0.1%
128 2
0.1%
ValueCountFrequency (%)
553 1
0.1%
542 1
0.1%
538 1
0.1%
532 1
0.1%
527 1
0.1%

feature_133
Real number (ℝ)

Distinct349
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.7735
Minimum96
Maximum548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:18.375770image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile154
Q1212
median269
Q3333.25
95-th percentile411.05
Maximum548
Range452
Interquartile range (IQR)121.25

Descriptive statistics

Standard deviation79.72767053
Coefficient of variation (CV)0.2901577864
Kurtosis-0.6327001771
Mean274.7735
Median Absolute Deviation (MAD)60
Skewness0.2355890339
Sum549547
Variance6356.501448
MonotonicityNot monotonic
2023-11-04T18:17:18.723857image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
221 15
 
0.8%
224 15
 
0.8%
255 15
 
0.8%
242 14
 
0.7%
246 14
 
0.7%
306 14
 
0.7%
336 13
 
0.7%
201 13
 
0.7%
244 13
 
0.7%
264 12
 
0.6%
Other values (339) 1862
93.1%
ValueCountFrequency (%)
96 1
0.1%
104 1
0.1%
108 1
0.1%
111 1
0.1%
112 1
0.1%
ValueCountFrequency (%)
548 1
0.1%
498 1
0.1%
494 1
0.1%
486 1
0.1%
485 1
0.1%

feature_134
Real number (ℝ)

Distinct590
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean841.9385
Minimum523
Maximum1353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:19.030494image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum523
5-th percentile615
Q1715.75
median838
Q3957
95-th percentile1097
Maximum1353
Range830
Interquartile range (IQR)241.25

Descriptive statistics

Standard deviation153.5115814
Coefficient of variation (CV)0.1823311102
Kurtosis-0.6713492355
Mean841.9385
Median Absolute Deviation (MAD)120
Skewness0.2410676114
Sum1683877
Variance23565.80562
MonotonicityNot monotonic
2023-11-04T18:17:19.301910image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
983 11
 
0.5%
747 10
 
0.5%
682 10
 
0.5%
971 9
 
0.4%
882 9
 
0.4%
1003 9
 
0.4%
926 9
 
0.4%
797 9
 
0.4%
693 9
 
0.4%
807 8
 
0.4%
Other values (580) 1907
95.3%
ValueCountFrequency (%)
523 1
0.1%
540 1
0.1%
544 1
0.1%
547 1
0.1%
549 1
0.1%
ValueCountFrequency (%)
1353 1
0.1%
1308 1
0.1%
1293 1
0.1%
1283 1
0.1%
1282 1
0.1%

feature_135
Real number (ℝ)

Distinct441
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean776.061
Minimum576
Maximum1124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:19.615023image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum576
5-th percentile632
Q1694.75
median760
Q3844
95-th percentile972.05
Maximum1124
Range548
Interquartile range (IQR)149.25

Descriptive statistics

Standard deviation105.3231397
Coefficient of variation (CV)0.1357150272
Kurtosis-0.1992583254
Mean776.061
Median Absolute Deviation (MAD)72.5
Skewness0.5988278781
Sum1552122
Variance11092.96376
MonotonicityNot monotonic
2023-11-04T18:17:19.937038image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
711 16
 
0.8%
758 15
 
0.8%
683 15
 
0.8%
698 14
 
0.7%
777 14
 
0.7%
709 14
 
0.7%
724 14
 
0.7%
768 13
 
0.7%
696 13
 
0.7%
691 13
 
0.7%
Other values (431) 1859
93.0%
ValueCountFrequency (%)
576 1
0.1%
578 1
0.1%
581 1
0.1%
586 1
0.1%
588 1
0.1%
ValueCountFrequency (%)
1124 1
0.1%
1114 1
0.1%
1106 1
0.1%
1104 1
0.1%
1097 1
0.1%

feature_136
Real number (ℝ)

Distinct335
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean680.3145
Minimum460
Maximum917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:20.260646image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum460
5-th percentile551
Q1635
median688
Q3732
95-th percentile783
Maximum917
Range457
Interquartile range (IQR)97

Descriptive statistics

Standard deviation71.55399763
Coefficient of variation (CV)0.1051778224
Kurtosis-0.1831950852
Mean680.3145
Median Absolute Deviation (MAD)48
Skewness-0.2365256717
Sum1360629
Variance5119.974577
MonotonicityNot monotonic
2023-11-04T18:17:20.576046image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
660 23
 
1.1%
644 19
 
0.9%
674 17
 
0.9%
698 16
 
0.8%
720 16
 
0.8%
696 16
 
0.8%
749 16
 
0.8%
672 16
 
0.8%
718 16
 
0.8%
703 15
 
0.8%
Other values (325) 1830
91.5%
ValueCountFrequency (%)
460 1
0.1%
462 1
0.1%
483 1
0.1%
485 1
0.1%
489 1
0.1%
ValueCountFrequency (%)
917 1
0.1%
894 2
0.1%
878 1
0.1%
877 1
0.1%
875 2
0.1%

feature_137
Real number (ℝ)

Distinct326
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean732.681
Minimum538
Maximum961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:20.889417image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum538
5-th percentile613
Q1681
median742
Q3785
95-th percentile838.05
Maximum961
Range423
Interquartile range (IQR)104

Descriptive statistics

Standard deviation71.17438539
Coefficient of variation (CV)0.09714239265
Kurtosis-0.484332937
Mean732.681
Median Absolute Deviation (MAD)51
Skewness-0.1570564947
Sum1465362
Variance5065.793136
MonotonicityNot monotonic
2023-11-04T18:17:21.317913image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
793 19
 
0.9%
714 18
 
0.9%
742 17
 
0.9%
768 17
 
0.9%
746 17
 
0.9%
754 17
 
0.9%
755 16
 
0.8%
763 16
 
0.8%
772 16
 
0.8%
750 15
 
0.8%
Other values (316) 1832
91.6%
ValueCountFrequency (%)
538 2
0.1%
541 1
0.1%
546 1
0.1%
556 1
0.1%
559 1
0.1%
ValueCountFrequency (%)
961 1
0.1%
957 1
0.1%
930 1
0.1%
929 1
0.1%
923 1
0.1%

feature_138
Real number (ℝ)

Distinct37
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.027
Minimum0
Maximum36
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:21.634630image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median17
Q325
95-th percentile30
Maximum36
Range36
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.616973161
Coefficient of variation (CV)0.4225313786
Kurtosis-0.8727567937
Mean18.027
Median Absolute Deviation (MAD)6
Skewness0.2025895008
Sum36054
Variance58.01828014
MonotonicityNot monotonic
2023-11-04T18:17:22.019242image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
11 139
 
7.0%
12 105
 
5.2%
10 103
 
5.1%
13 103
 
5.1%
15 100
 
5.0%
27 98
 
4.9%
17 89
 
4.5%
14 86
 
4.3%
18 82
 
4.1%
9 78
 
3.9%
Other values (27) 1017
50.8%
ValueCountFrequency (%)
0 1
 
0.1%
1 3
 
0.1%
2 11
0.5%
3 12
0.6%
4 13
0.7%
ValueCountFrequency (%)
36 6
 
0.3%
35 14
0.7%
34 10
0.5%
33 22
1.1%
32 17
0.9%

feature_139
Real number (ℝ)

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.856
Minimum2
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:22.359562image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q115
median19
Q326
95-th percentile32
Maximum36
Range34
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.324280616
Coefficient of variation (CV)0.368869894
Kurtosis-0.865243563
Mean19.856
Median Absolute Deviation (MAD)5
Skewness0.0906220682
Sum39712
Variance53.64508654
MonotonicityNot monotonic
2023-11-04T18:17:22.670250image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20 122
 
6.1%
18 121
 
6.0%
16 114
 
5.7%
17 101
 
5.1%
15 98
 
4.9%
19 92
 
4.6%
22 90
 
4.5%
30 90
 
4.5%
10 77
 
3.9%
14 74
 
3.7%
Other values (25) 1021
51.0%
ValueCountFrequency (%)
2 1
 
0.1%
3 5
0.2%
4 4
0.2%
5 3
 
0.1%
6 9
0.4%
ValueCountFrequency (%)
36 1
 
0.1%
35 6
 
0.3%
34 25
1.2%
33 36
1.8%
32 54
2.7%

feature_140
Real number (ℝ)

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.959
Minimum2
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:22.880144image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q110
median14
Q324
95-th percentile32
Maximum36
Range34
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.300287127
Coefficient of variation (CV)0.4894325801
Kurtosis-0.7795477063
Mean16.959
Median Absolute Deviation (MAD)5
Skewness0.607848792
Sum33918
Variance68.89476638
MonotonicityNot monotonic
2023-11-04T18:17:23.274973image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
11 146
 
7.3%
10 144
 
7.2%
9 139
 
7.0%
13 130
 
6.5%
12 120
 
6.0%
14 109
 
5.5%
15 100
 
5.0%
8 94
 
4.7%
27 73
 
3.6%
17 68
 
3.4%
Other values (25) 877
43.9%
ValueCountFrequency (%)
2 7
 
0.4%
3 12
0.6%
4 18
0.9%
5 24
1.2%
6 25
1.2%
ValueCountFrequency (%)
36 13
 
0.7%
35 20
1.0%
34 30
1.5%
33 32
1.6%
32 37
1.8%

feature_141
Real number (ℝ)

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.364
Minimum0
Maximum23
Zeros17
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:23.392586image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median12
Q315
95-th percentile18
Maximum23
Range23
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.662764704
Coefficient of variation (CV)0.4103101641
Kurtosis-0.5536051154
Mean11.364
Median Absolute Deviation (MAD)3
Skewness-0.4705154425
Sum22728
Variance21.74137469
MonotonicityNot monotonic
2023-11-04T18:17:23.488011image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
15 205
 
10.2%
16 183
 
9.2%
14 165
 
8.2%
10 146
 
7.3%
17 144
 
7.2%
11 133
 
6.7%
12 130
 
6.5%
9 129
 
6.5%
8 125
 
6.2%
13 114
 
5.7%
Other values (13) 526
26.3%
ValueCountFrequency (%)
0 17
 
0.9%
1 48
2.4%
2 44
2.2%
3 40
2.0%
4 40
2.0%
ValueCountFrequency (%)
23 1
 
0.1%
22 2
 
0.1%
20 9
 
0.4%
19 32
1.6%
18 65
3.2%

feature_142
Real number (ℝ)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9925
Minimum0
Maximum18
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:23.578573image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median9
Q311
95-th percentile15
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.555525929
Coefficient of variation (CV)0.3953879265
Kurtosis-0.4541918843
Mean8.9925
Median Absolute Deviation (MAD)2
Skewness-0.2816621807
Sum17985
Variance12.64176463
MonotonicityNot monotonic
2023-11-04T18:17:23.678977image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9 336
16.8%
10 272
13.6%
11 192
9.6%
8 184
9.2%
12 157
7.8%
4 128
 
6.4%
13 105
 
5.2%
14 100
 
5.0%
5 92
 
4.6%
6 84
 
4.2%
Other values (9) 350
17.5%
ValueCountFrequency (%)
0 2
 
0.1%
1 28
 
1.4%
2 67
3.4%
3 82
4.1%
4 128
6.4%
ValueCountFrequency (%)
18 1
 
0.1%
17 8
 
0.4%
16 28
 
1.4%
15 73
3.6%
14 100
5.0%

feature_143
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2915
Minimum0
Maximum22
Zeros128
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:23.780710image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q311
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.449346331
Coefficient of variation (CV)0.7473560078
Kurtosis-0.6954302281
Mean7.2915
Median Absolute Deviation (MAD)5
Skewness0.447760385
Sum14583
Variance29.69537544
MonotonicityNot monotonic
2023-11-04T18:17:23.875233image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 239
11.9%
2 212
10.6%
10 191
9.6%
9 177
 
8.8%
11 173
 
8.6%
3 144
 
7.2%
0 128
 
6.4%
4 88
 
4.4%
8 88
 
4.4%
12 88
 
4.4%
Other values (13) 472
23.6%
ValueCountFrequency (%)
0 128
6.4%
1 239
11.9%
2 212
10.6%
3 144
7.2%
4 88
 
4.4%
ValueCountFrequency (%)
22 2
 
0.1%
21 10
 
0.5%
20 19
 
0.9%
19 36
1.8%
18 48
2.4%

feature_144
Real number (ℝ)

Distinct278
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.7305
Minimum156
Maximum519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:24.030279image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum156
5-th percentile239
Q1282
median323
Q3373
95-th percentile432
Maximum519
Range363
Interquartile range (IQR)91

Descriptive statistics

Standard deviation60.4558047
Coefficient of variation (CV)0.1844680452
Kurtosis-0.5203406328
Mean327.7305
Median Absolute Deviation (MAD)45
Skewness0.2523154256
Sum655461
Variance3654.904322
MonotonicityNot monotonic
2023-11-04T18:17:24.307447image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
297 22
 
1.1%
291 22
 
1.1%
282 19
 
0.9%
292 18
 
0.9%
303 18
 
0.9%
316 17
 
0.9%
331 17
 
0.9%
288 16
 
0.8%
323 16
 
0.8%
283 16
 
0.8%
Other values (268) 1819
91.0%
ValueCountFrequency (%)
156 1
0.1%
182 2
0.1%
183 1
0.1%
187 1
0.1%
188 1
0.1%
ValueCountFrequency (%)
519 1
0.1%
517 1
0.1%
510 1
0.1%
502 1
0.1%
501 1
0.1%

feature_145
Real number (ℝ)

Distinct434
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.6535
Minimum80
Maximum621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:24.538195image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile153
Q1206
median274
Q3365
95-th percentile490.05
Maximum621
Range541
Interquartile range (IQR)159

Descriptive statistics

Standard deviation106.4185223
Coefficient of variation (CV)0.3648799768
Kurtosis-0.4794828685
Mean291.6535
Median Absolute Deviation (MAD)77
Skewness0.5591656556
Sum583307
Variance11324.90189
MonotonicityNot monotonic
2023-11-04T18:17:24.836589image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
306 16
 
0.8%
186 14
 
0.7%
224 14
 
0.7%
365 14
 
0.7%
276 14
 
0.7%
165 14
 
0.7%
169 13
 
0.7%
216 12
 
0.6%
208 12
 
0.6%
269 12
 
0.6%
Other values (424) 1865
93.2%
ValueCountFrequency (%)
80 1
0.1%
95 1
0.1%
96 2
0.1%
99 1
0.1%
101 1
0.1%
ValueCountFrequency (%)
621 1
 
0.1%
594 1
 
0.1%
583 2
0.1%
579 1
 
0.1%
577 3
0.1%

feature_146
Real number (ℝ)

Distinct501
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean807.9815
Minimum561
Maximum1237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:25.047332image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum561
5-th percentile626
Q1701
median800
Q3903
95-th percentile1024.1
Maximum1237
Range676
Interquartile range (IQR)202

Descriptive statistics

Standard deviation126.6346964
Coefficient of variation (CV)0.1567296979
Kurtosis-0.6491004524
Mean807.9815
Median Absolute Deviation (MAD)101
Skewness0.2933600301
Sum1615963
Variance16036.34633
MonotonicityNot monotonic
2023-11-04T18:17:25.246111image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
843 13
 
0.7%
643 12
 
0.6%
799 12
 
0.6%
728 11
 
0.5%
834 11
 
0.5%
726 10
 
0.5%
776 10
 
0.5%
651 10
 
0.5%
665 10
 
0.5%
761 10
 
0.5%
Other values (491) 1891
94.5%
ValueCountFrequency (%)
561 2
0.1%
568 1
 
0.1%
569 1
 
0.1%
572 4
0.2%
575 1
 
0.1%
ValueCountFrequency (%)
1237 1
0.1%
1196 1
0.1%
1189 1
0.1%
1169 1
0.1%
1166 1
0.1%

feature_147
Real number (ℝ)

Distinct492
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean799.305
Minimum548
Maximum1187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:25.396883image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum548
5-th percentile621
Q1699
median788
Q3888
95-th percentile1020
Maximum1187
Range639
Interquartile range (IQR)189

Descriptive statistics

Standard deviation124.6553467
Coefficient of variation (CV)0.155954669
Kurtosis-0.573737376
Mean799.305
Median Absolute Deviation (MAD)94
Skewness0.3662917306
Sum1598610
Variance15538.95545
MonotonicityNot monotonic
2023-11-04T18:17:25.514675image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
841 11
 
0.5%
790 10
 
0.5%
765 10
 
0.5%
729 10
 
0.5%
815 10
 
0.5%
690 10
 
0.5%
682 10
 
0.5%
639 10
 
0.5%
866 10
 
0.5%
698 9
 
0.4%
Other values (482) 1900
95.0%
ValueCountFrequency (%)
548 1
 
0.1%
550 1
 
0.1%
553 1
 
0.1%
562 3
0.1%
564 1
 
0.1%
ValueCountFrequency (%)
1187 1
 
0.1%
1158 4
0.2%
1145 1
 
0.1%
1141 1
 
0.1%
1132 2
0.1%

feature_148
Real number (ℝ)

Distinct302
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.7535
Minimum468
Maximum911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:25.643713image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum468
5-th percentile603
Q1674
median735
Q3783
95-th percentile832
Maximum911
Range443
Interquartile range (IQR)109

Descriptive statistics

Standard deviation71.38718935
Coefficient of variation (CV)0.09809254006
Kurtosis-0.5695321781
Mean727.7535
Median Absolute Deviation (MAD)53
Skewness-0.299920346
Sum1455507
Variance5096.130803
MonotonicityNot monotonic
2023-11-04T18:17:25.957821image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
747 18
 
0.9%
756 18
 
0.9%
736 17
 
0.9%
768 17
 
0.9%
817 17
 
0.9%
748 16
 
0.8%
646 15
 
0.8%
740 14
 
0.7%
764 14
 
0.7%
778 14
 
0.7%
Other values (292) 1840
92.0%
ValueCountFrequency (%)
468 1
0.1%
498 1
0.1%
503 1
0.1%
517 2
0.1%
520 1
0.1%
ValueCountFrequency (%)
911 1
0.1%
904 1
0.1%
894 1
0.1%
887 1
0.1%
885 2
0.1%

feature_149
Real number (ℝ)

Distinct355
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean684.513
Minimum498
Maximum977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:26.232050image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum498
5-th percentile554.95
Q1626
median694
Q3735
95-th percentile814
Maximum977
Range479
Interquartile range (IQR)109

Descriptive statistics

Standard deviation79.04330935
Coefficient of variation (CV)0.1154737884
Kurtosis-0.1394234748
Mean684.513
Median Absolute Deviation (MAD)51
Skewness0.1067497745
Sum1369026
Variance6247.844753
MonotonicityNot monotonic
2023-11-04T18:17:26.583613image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
712 21
 
1.1%
704 17
 
0.9%
690 17
 
0.9%
702 17
 
0.9%
698 16
 
0.8%
700 16
 
0.8%
703 16
 
0.8%
714 16
 
0.8%
741 15
 
0.8%
735 15
 
0.8%
Other values (345) 1834
91.7%
ValueCountFrequency (%)
498 1
0.1%
503 1
0.1%
505 1
0.1%
507 1
0.1%
509 2
0.1%
ValueCountFrequency (%)
977 1
0.1%
971 1
0.1%
937 2
0.1%
923 1
0.1%
919 1
0.1%

feature_150
Real number (ℝ)

Distinct37
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.992
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:26.947527image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q111
median17
Q324
95-th percentile31
Maximum37
Range36
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.841982169
Coefficient of variation (CV)0.4358593914
Kurtosis-1.06388
Mean17.992
Median Absolute Deviation (MAD)7
Skewness0.2040737231
Sum35984
Variance61.49668434
MonotonicityNot monotonic
2023-11-04T18:17:27.108541image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
9 125
 
6.2%
10 103
 
5.1%
8 99
 
5.0%
13 96
 
4.8%
11 95
 
4.8%
20 91
 
4.5%
17 86
 
4.3%
29 86
 
4.3%
21 79
 
4.0%
7 75
 
3.8%
Other values (27) 1065
53.2%
ValueCountFrequency (%)
1 1
 
0.1%
2 2
 
0.1%
3 8
0.4%
4 18
0.9%
5 11
0.5%
ValueCountFrequency (%)
37 2
 
0.1%
36 5
 
0.2%
35 6
 
0.3%
34 7
 
0.4%
33 18
0.9%

feature_151
Real number (ℝ)

Distinct32
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.266
Minimum5
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:27.272772image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q115
median20
Q325
95-th percentile33
Maximum36
Range31
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.213477742
Coefficient of variation (CV)0.3559398866
Kurtosis-0.6975855874
Mean20.266
Median Absolute Deviation (MAD)5
Skewness0.2486800775
Sum40532
Variance52.03426113
MonotonicityNot monotonic
2023-11-04T18:17:27.425608image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20 119
 
5.9%
18 119
 
5.9%
16 114
 
5.7%
17 105
 
5.2%
21 100
 
5.0%
15 99
 
5.0%
22 99
 
5.0%
14 99
 
5.0%
19 97
 
4.9%
32 83
 
4.2%
Other values (22) 966
48.3%
ValueCountFrequency (%)
5 2
 
0.1%
6 13
 
0.7%
7 36
1.8%
8 41
2.1%
9 33
1.7%
ValueCountFrequency (%)
36 12
 
0.6%
35 26
 
1.3%
34 31
 
1.6%
33 55
2.8%
32 83
4.2%

feature_152
Real number (ℝ)

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.786
Minimum0
Maximum35
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:27.574468image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q111
median14
Q324
95-th percentile32
Maximum35
Range35
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.152879167
Coefficient of variation (CV)0.4856951726
Kurtosis-0.7577900214
Mean16.786
Median Absolute Deviation (MAD)5
Skewness0.5790891207
Sum33572
Variance66.46943872
MonotonicityNot monotonic
2023-11-04T18:17:27.705868image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
13 154
 
7.7%
11 139
 
7.0%
14 128
 
6.4%
10 124
 
6.2%
12 120
 
6.0%
15 118
 
5.9%
9 109
 
5.5%
8 92
 
4.6%
16 88
 
4.4%
25 67
 
3.4%
Other values (25) 861
43.0%
ValueCountFrequency (%)
0 1
 
0.1%
2 12
0.6%
3 18
0.9%
4 19
0.9%
5 20
1.0%
ValueCountFrequency (%)
35 14
 
0.7%
34 31
1.6%
33 37
1.8%
32 44
2.2%
31 31
1.6%

feature_153
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.467
Minimum0
Maximum22
Zeros86
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:27.814485image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q312
95-th percentile16
Maximum22
Range22
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.796083007
Coefficient of variation (CV)0.5664441959
Kurtosis-0.7306903645
Mean8.467
Median Absolute Deviation (MAD)3
Skewness-0.1449136357
Sum16934
Variance23.00241221
MonotonicityNot monotonic
2023-11-04T18:17:27.912293image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10 252
12.6%
11 204
10.2%
9 196
 
9.8%
1 156
 
7.8%
12 150
 
7.5%
2 132
 
6.6%
8 114
 
5.7%
13 110
 
5.5%
7 98
 
4.9%
14 91
 
4.5%
Other values (12) 497
24.9%
ValueCountFrequency (%)
0 86
4.3%
1 156
7.8%
2 132
6.6%
3 86
4.3%
4 48
 
2.4%
ValueCountFrequency (%)
22 1
 
0.1%
20 7
 
0.4%
19 17
0.9%
18 27
1.4%
17 30
1.5%

feature_154
Real number (ℝ)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3545
Minimum0
Maximum17
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:28.029169image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.706440152
Coefficient of variation (CV)0.3962200173
Kurtosis-0.6245856902
Mean9.3545
Median Absolute Deviation (MAD)2
Skewness-0.379783193
Sum18709
Variance13.7376986
MonotonicityNot monotonic
2023-11-04T18:17:28.178664image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11 252
12.6%
10 236
11.8%
9 190
9.5%
12 185
9.2%
13 155
7.8%
8 146
7.3%
14 141
 
7.0%
5 115
 
5.8%
7 113
 
5.7%
4 107
 
5.3%
Other values (8) 360
18.0%
ValueCountFrequency (%)
0 6
 
0.3%
1 25
 
1.2%
2 53
2.6%
3 90
4.5%
4 107
5.3%
ValueCountFrequency (%)
17 6
 
0.3%
16 42
 
2.1%
15 77
3.9%
14 141
7.0%
13 155
7.8%

feature_155
Real number (ℝ)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5595
Minimum0
Maximum24
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:28.313402image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q111
median13
Q315
95-th percentile19
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.951742386
Coefficient of variation (CV)0.3146416964
Kurtosis0.5232119997
Mean12.5595
Median Absolute Deviation (MAD)2
Skewness-0.4851016571
Sum25119
Variance15.61626788
MonotonicityNot monotonic
2023-11-04T18:17:28.590575image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
14 294
14.7%
13 269
13.5%
15 242
12.1%
12 204
10.2%
16 175
8.8%
11 130
 
6.5%
10 97
 
4.9%
9 76
 
3.8%
8 67
 
3.4%
7 61
 
3.0%
Other values (15) 385
19.2%
ValueCountFrequency (%)
0 3
 
0.1%
1 9
 
0.4%
2 14
0.7%
3 25
1.2%
4 31
1.6%
ValueCountFrequency (%)
24 5
 
0.2%
23 4
 
0.2%
22 12
0.6%
21 19
0.9%
20 27
1.4%

feature_156
Real number (ℝ)

Distinct379
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean316.5695
Minimum81
Maximum565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:28.891706image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile172.95
Q1254
median315
Q3382
95-th percentile456
Maximum565
Range484
Interquartile range (IQR)128

Descriptive statistics

Standard deviation86.05401685
Coefficient of variation (CV)0.2718329367
Kurtosis-0.4747704013
Mean316.5695
Median Absolute Deviation (MAD)64
Skewness-0.04561107612
Sum633139
Variance7405.293817
MonotonicityNot monotonic
2023-11-04T18:17:29.211831image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336 17
 
0.9%
258 16
 
0.8%
314 16
 
0.8%
306 15
 
0.8%
387 15
 
0.8%
321 15
 
0.8%
299 14
 
0.7%
313 14
 
0.7%
275 14
 
0.7%
238 14
 
0.7%
Other values (369) 1850
92.5%
ValueCountFrequency (%)
81 1
0.1%
91 1
0.1%
95 2
0.1%
96 1
0.1%
102 2
0.1%
ValueCountFrequency (%)
565 1
0.1%
545 1
0.1%
544 1
0.1%
538 1
0.1%
536 1
0.1%

feature_157
Real number (ℝ)

Distinct398
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.1375
Minimum95
Maximum614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:29.587795image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile186
Q1253
median304
Q3360.25
95-th percentile485.1
Maximum614
Range519
Interquartile range (IQR)107.25

Descriptive statistics

Standard deviation85.93423614
Coefficient of variation (CV)0.275308914
Kurtosis0.404843379
Mean312.1375
Median Absolute Deviation (MAD)53
Skewness0.5851331662
Sum624275
Variance7384.69294
MonotonicityNot monotonic
2023-11-04T18:17:30.005926image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
274 22
 
1.1%
315 16
 
0.8%
311 15
 
0.8%
294 14
 
0.7%
335 14
 
0.7%
289 14
 
0.7%
313 14
 
0.7%
287 14
 
0.7%
276 13
 
0.7%
232 13
 
0.7%
Other values (388) 1851
92.5%
ValueCountFrequency (%)
95 1
0.1%
97 1
0.1%
102 1
0.1%
110 1
0.1%
113 1
0.1%
ValueCountFrequency (%)
614 1
0.1%
600 1
0.1%
595 1
0.1%
580 2
0.1%
574 1
0.1%

feature_158
Real number (ℝ)

Distinct357
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean615.5555
Minimum403
Maximum952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:30.391204image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum403
5-th percentile506
Q1555
median604.5
Q3668
95-th percentile761.05
Maximum952
Range549
Interquartile range (IQR)113

Descriptive statistics

Standard deviation80.25080071
Coefficient of variation (CV)0.1303713487
Kurtosis0.2742664731
Mean615.5555
Median Absolute Deviation (MAD)55.5
Skewness0.6255183716
Sum1231111
Variance6440.191015
MonotonicityNot monotonic
2023-11-04T18:17:30.750064image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
577 17
 
0.9%
535 17
 
0.9%
608 17
 
0.9%
650 16
 
0.8%
549 15
 
0.8%
568 14
 
0.7%
586 14
 
0.7%
657 14
 
0.7%
538 14
 
0.7%
609 13
 
0.7%
Other values (347) 1849
92.5%
ValueCountFrequency (%)
403 1
0.1%
437 1
0.1%
444 1
0.1%
445 1
0.1%
447 1
0.1%
ValueCountFrequency (%)
952 1
0.1%
922 1
0.1%
920 1
0.1%
915 1
0.1%
914 1
0.1%

feature_159
Real number (ℝ)

Distinct403
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean674.847
Minimum470
Maximum1029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:31.040343image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum470
5-th percentile554
Q1602
median652
Q3745.25
95-th percentile848
Maximum1029
Range559
Interquartile range (IQR)143.25

Descriptive statistics

Standard deviation94.42785554
Coefficient of variation (CV)0.1399248356
Kurtosis-0.1685876074
Mean674.847
Median Absolute Deviation (MAD)62
Skewness0.6674722837
Sum1349694
Variance8916.619901
MonotonicityNot monotonic
2023-11-04T18:17:31.577610image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
601 21
 
1.1%
612 17
 
0.9%
611 16
 
0.8%
619 15
 
0.8%
604 15
 
0.8%
618 15
 
0.8%
616 15
 
0.8%
630 15
 
0.8%
622 15
 
0.8%
571 15
 
0.8%
Other values (393) 1841
92.0%
ValueCountFrequency (%)
470 1
0.1%
471 1
0.1%
475 1
0.1%
483 1
0.1%
490 1
0.1%
ValueCountFrequency (%)
1029 1
0.1%
1018 1
0.1%
994 1
0.1%
986 1
0.1%
981 1
0.1%

feature_160
Real number (ℝ)

Distinct327
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean755.9615
Minimum454
Maximum967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:31.883568image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum454
5-th percentile630
Q1720
median763
Q3801.25
95-th percentile849
Maximum967
Range513
Interquartile range (IQR)81.25

Descriptive statistics

Standard deviation66.66240286
Coefficient of variation (CV)0.08818227233
Kurtosis0.7252015006
Mean755.9615
Median Absolute Deviation (MAD)40
Skewness-0.5773829777
Sum1511923
Variance4443.875956
MonotonicityNot monotonic
2023-11-04T18:17:32.225757image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
787 22
 
1.1%
782 22
 
1.1%
766 21
 
1.1%
802 20
 
1.0%
750 20
 
1.0%
805 19
 
0.9%
748 19
 
0.9%
739 18
 
0.9%
781 18
 
0.9%
774 18
 
0.9%
Other values (317) 1803
90.1%
ValueCountFrequency (%)
454 1
0.1%
482 1
0.1%
525 1
0.1%
527 1
0.1%
537 1
0.1%
ValueCountFrequency (%)
967 1
0.1%
962 1
0.1%
956 1
0.1%
941 1
0.1%
937 1
0.1%

feature_161
Real number (ℝ)

Distinct449
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean928.871
Minimum555
Maximum1202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:32.549083image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum555
5-th percentile719
Q1859
median955
Q31010
95-th percentile1064
Maximum1202
Range647
Interquartile range (IQR)151

Descriptive statistics

Standard deviation109.1924212
Coefficient of variation (CV)0.1175539135
Kurtosis0.1770942704
Mean928.871
Median Absolute Deviation (MAD)67
Skewness-0.7887164489
Sum1857742
Variance11922.98485
MonotonicityNot monotonic
2023-11-04T18:17:32.857015image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1009 19
 
0.9%
1032 17
 
0.9%
997 16
 
0.8%
1003 15
 
0.8%
1020 15
 
0.8%
1001 15
 
0.8%
999 15
 
0.8%
931 14
 
0.7%
996 14
 
0.7%
973 14
 
0.7%
Other values (439) 1846
92.3%
ValueCountFrequency (%)
555 1
0.1%
560 1
0.1%
563 1
0.1%
571 1
0.1%
582 1
0.1%
ValueCountFrequency (%)
1202 1
0.1%
1172 1
0.1%
1171 1
0.1%
1160 1
0.1%
1156 1
0.1%

feature_162
Real number (ℝ)

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.153
Minimum0
Maximum43
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:33.073803image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median17
Q322
95-th percentile32
Maximum43
Range43
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.260188034
Coefficient of variation (CV)0.4815593793
Kurtosis-0.1597490665
Mean17.153
Median Absolute Deviation (MAD)5
Skewness0.4157259728
Sum34306
Variance68.23070635
MonotonicityNot monotonic
2023-11-04T18:17:33.241977image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
20 108
 
5.4%
14 103
 
5.1%
18 102
 
5.1%
16 96
 
4.8%
19 96
 
4.8%
17 96
 
4.8%
12 91
 
4.5%
15 91
 
4.5%
11 82
 
4.1%
8 81
 
4.0%
Other values (34) 1054
52.7%
ValueCountFrequency (%)
0 1
 
0.1%
1 21
1.1%
2 24
1.2%
3 20
1.0%
4 36
1.8%
ValueCountFrequency (%)
43 1
 
0.1%
42 2
 
0.1%
41 3
 
0.1%
40 5
0.2%
39 8
0.4%

feature_163
Real number (ℝ)

Distinct34
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.512
Minimum4
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:33.355832image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile11
Q117
median22
Q326
95-th percentile32
Maximum37
Range33
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.329999245
Coefficient of variation (CV)0.2942543346
Kurtosis-0.446329573
Mean21.512
Median Absolute Deviation (MAD)5
Skewness0.008764814728
Sum43024
Variance40.06889045
MonotonicityNot monotonic
2023-11-04T18:17:33.471428image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
22 156
 
7.8%
23 138
 
6.9%
21 120
 
6.0%
24 119
 
5.9%
25 112
 
5.6%
19 108
 
5.4%
17 97
 
4.9%
27 92
 
4.6%
15 84
 
4.2%
14 83
 
4.2%
Other values (24) 891
44.5%
ValueCountFrequency (%)
4 4
 
0.2%
5 4
 
0.2%
6 3
 
0.1%
7 5
0.2%
8 10
0.5%
ValueCountFrequency (%)
37 6
 
0.3%
36 10
 
0.5%
35 22
1.1%
34 24
1.2%
33 30
1.5%

feature_164
Real number (ℝ)

Distinct46
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.301
Minimum0
Maximum45
Zeros19
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:33.587878image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median18
Q328
95-th percentile40
Maximum45
Range45
Interquartile range (IQR)19

Descriptive statistics

Standard deviation12.08529794
Coefficient of variation (CV)0.6261487973
Kurtosis-0.9683117828
Mean19.301
Median Absolute Deviation (MAD)10
Skewness0.2994134261
Sum38602
Variance146.0544262
MonotonicityNot monotonic
2023-11-04T18:17:33.694572image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
23 78
 
3.9%
19 77
 
3.9%
15 74
 
3.7%
8 67
 
3.4%
16 67
 
3.4%
6 65
 
3.2%
3 65
 
3.2%
24 61
 
3.0%
4 60
 
3.0%
17 60
 
3.0%
Other values (36) 1326
66.3%
ValueCountFrequency (%)
0 19
 
0.9%
1 48
2.4%
2 56
2.8%
3 65
3.2%
4 60
3.0%
ValueCountFrequency (%)
45 3
 
0.1%
44 12
 
0.6%
43 20
1.0%
42 37
1.8%
41 27
1.4%

feature_165
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.398
Minimum0
Maximum24
Zeros60
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:33.795583image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median10
Q314
95-th percentile19
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.355084917
Coefficient of variation (CV)0.5150110518
Kurtosis-0.567617505
Mean10.398
Median Absolute Deviation (MAD)3
Skewness-0.09876396504
Sum20796
Variance28.67693447
MonotonicityNot monotonic
2023-11-04T18:17:33.895290image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9 192
 
9.6%
10 177
 
8.8%
8 162
 
8.1%
11 154
 
7.7%
12 152
 
7.6%
1 103
 
5.1%
13 102
 
5.1%
7 91
 
4.5%
17 90
 
4.5%
15 89
 
4.5%
Other values (15) 688
34.4%
ValueCountFrequency (%)
0 60
3.0%
1 103
5.1%
2 76
3.8%
3 56
2.8%
4 32
 
1.6%
ValueCountFrequency (%)
24 1
 
0.1%
23 3
 
0.1%
22 14
0.7%
21 25
1.2%
20 28
1.4%

feature_166
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1565
Minimum0
Maximum21
Zeros49
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:33.990903image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q313
95-th percentile17
Maximum21
Range21
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.060515009
Coefficient of variation (CV)0.5526691431
Kurtosis-0.7808869853
Mean9.1565
Median Absolute Deviation (MAD)4
Skewness-0.01031425289
Sum18313
Variance25.60881216
MonotonicityNot monotonic
2023-11-04T18:17:34.084128image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
11 209
 
10.4%
12 208
 
10.4%
13 157
 
7.8%
10 139
 
7.0%
3 113
 
5.7%
1 113
 
5.7%
4 103
 
5.1%
8 101
 
5.1%
9 100
 
5.0%
2 97
 
4.9%
Other values (12) 660
33.0%
ValueCountFrequency (%)
0 49
2.5%
1 113
5.7%
2 97
4.9%
3 113
5.7%
4 103
5.1%
ValueCountFrequency (%)
21 8
 
0.4%
20 27
1.4%
19 37
1.8%
18 25
 
1.2%
17 63
3.1%

feature_167
Real number (ℝ)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.0065
Minimum0
Maximum18
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:34.183271image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.95
Q18
median10
Q312
95-th percentile15
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.752498115
Coefficient of variation (CV)0.2750710153
Kurtosis0.2204701557
Mean10.0065
Median Absolute Deviation (MAD)2
Skewness-0.09322506017
Sum20013
Variance7.576245873
MonotonicityNot monotonic
2023-11-04T18:17:34.410728image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9 320
16.0%
10 300
15.0%
8 281
14.1%
11 257
12.8%
13 174
8.7%
12 146
7.3%
7 141
7.0%
14 124
 
6.2%
15 65
 
3.2%
6 52
 
2.6%
Other values (9) 140
7.0%
ValueCountFrequency (%)
0 1
 
0.1%
1 3
 
0.1%
2 11
 
0.5%
3 20
1.0%
4 29
1.5%
ValueCountFrequency (%)
18 2
 
0.1%
17 9
 
0.4%
16 29
 
1.5%
15 65
3.2%
14 124
6.2%

feature_168
Real number (ℝ)

Distinct359
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.7755
Minimum64
Maximum536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:34.614941image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile161
Q1243
median287
Q3327
95-th percentile419.15
Maximum536
Range472
Interquartile range (IQR)84

Descriptive statistics

Standard deviation72.23544199
Coefficient of variation (CV)0.2518884702
Kurtosis0.3353437254
Mean286.7755
Median Absolute Deviation (MAD)42
Skewness0.1440078714
Sum573551
Variance5217.959079
MonotonicityNot monotonic
2023-11-04T18:17:34.829332image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303 21
 
1.1%
302 19
 
0.9%
256 18
 
0.9%
293 17
 
0.9%
286 17
 
0.9%
289 17
 
0.9%
263 17
 
0.9%
312 16
 
0.8%
311 16
 
0.8%
314 16
 
0.8%
Other values (349) 1826
91.3%
ValueCountFrequency (%)
64 1
0.1%
72 1
0.1%
91 2
0.1%
95 1
0.1%
96 1
0.1%
ValueCountFrequency (%)
536 1
0.1%
522 1
0.1%
512 1
0.1%
503 1
0.1%
502 1
0.1%

feature_169
Real number (ℝ)

Distinct394
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.3285
Minimum93
Maximum604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:35.044588image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile185
Q1250
median301
Q3356
95-th percentile468
Maximum604
Range511
Interquartile range (IQR)106

Descriptive statistics

Standard deviation83.47686974
Coefficient of variation (CV)0.2707400378
Kurtosis0.2442714685
Mean308.3285
Median Absolute Deviation (MAD)52
Skewness0.5064672395
Sum616657
Variance6968.387782
MonotonicityNot monotonic
2023-11-04T18:17:35.255227image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
314 18
 
0.9%
278 18
 
0.9%
315 17
 
0.9%
301 17
 
0.9%
274 17
 
0.9%
316 16
 
0.8%
286 15
 
0.8%
273 14
 
0.7%
297 14
 
0.7%
336 14
 
0.7%
Other values (384) 1840
92.0%
ValueCountFrequency (%)
93 1
0.1%
95 1
0.1%
96 1
0.1%
106 1
0.1%
110 1
0.1%
ValueCountFrequency (%)
604 1
0.1%
595 1
0.1%
582 1
0.1%
578 1
0.1%
558 1
0.1%

feature_170
Real number (ℝ)

Distinct435
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean686.9865
Minimum477
Maximum1088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:35.534855image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum477
5-th percentile546
Q1603
median673
Q3755
95-th percentile883
Maximum1088
Range611
Interquartile range (IQR)152

Descriptive statistics

Standard deviation105.0768142
Coefficient of variation (CV)0.1529532447
Kurtosis0.02668851298
Mean686.9865
Median Absolute Deviation (MAD)74
Skewness0.6526736427
Sum1373973
Variance11041.13689
MonotonicityNot monotonic
2023-11-04T18:17:35.654111image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608 14
 
0.7%
632 13
 
0.7%
706 13
 
0.7%
631 13
 
0.7%
623 12
 
0.6%
602 12
 
0.6%
600 12
 
0.6%
587 12
 
0.6%
591 12
 
0.6%
736 11
 
0.5%
Other values (425) 1876
93.8%
ValueCountFrequency (%)
477 1
0.1%
481 1
0.1%
487 1
0.1%
493 1
0.1%
497 1
0.1%
ValueCountFrequency (%)
1088 1
0.1%
1081 1
0.1%
1057 1
0.1%
1049 1
0.1%
1032 1
0.1%

feature_171
Real number (ℝ)

Distinct314
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean631.672
Minimum387
Maximum948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:35.810780image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum387
5-th percentile519
Q1581
median632
Q3678
95-th percentile742.05
Maximum948
Range561
Interquartile range (IQR)97

Descriptive statistics

Standard deviation68.81938295
Coefficient of variation (CV)0.1089479713
Kurtosis0.01442440763
Mean631.672
Median Absolute Deviation (MAD)48
Skewness0.1937958282
Sum1263344
Variance4736.10747
MonotonicityNot monotonic
2023-11-04T18:17:36.079942image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
645 20
 
1.0%
643 19
 
0.9%
613 19
 
0.9%
641 17
 
0.9%
628 16
 
0.8%
629 16
 
0.8%
664 15
 
0.8%
644 15
 
0.8%
655 15
 
0.8%
630 15
 
0.8%
Other values (304) 1833
91.6%
ValueCountFrequency (%)
387 1
0.1%
444 1
0.1%
466 1
0.1%
472 1
0.1%
476 1
0.1%
ValueCountFrequency (%)
948 1
0.1%
883 1
0.1%
877 1
0.1%
871 1
0.1%
835 1
0.1%

feature_172
Real number (ℝ)

Distinct454
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.9585
Minimum479
Maximum1179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:36.321096image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum479
5-th percentile702
Q1892
median969
Q31019
95-th percentile1069
Maximum1179
Range700
Interquartile range (IQR)127

Descriptive statistics

Standard deviation109.9028621
Coefficient of variation (CV)0.1166748451
Kurtosis0.7265534587
Mean941.9585
Median Absolute Deviation (MAD)58
Skewness-1.073823789
Sum1883917
Variance12078.6391
MonotonicityNot monotonic
2023-11-04T18:17:36.562342image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1010 20
 
1.0%
966 18
 
0.9%
1029 17
 
0.9%
961 16
 
0.8%
1026 16
 
0.8%
1017 16
 
0.8%
964 15
 
0.8%
990 15
 
0.8%
1011 15
 
0.8%
1043 14
 
0.7%
Other values (444) 1838
91.9%
ValueCountFrequency (%)
479 1
0.1%
566 1
0.1%
576 1
0.1%
578 1
0.1%
580 1
0.1%
ValueCountFrequency (%)
1179 1
0.1%
1178 1
0.1%
1172 1
0.1%
1151 1
0.1%
1145 1
0.1%

feature_173
Real number (ℝ)

Distinct381
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean757.069
Minimum508
Maximum994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:36.751317image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum508
5-th percentile603
Q1707
median771
Q3809
95-th percentile881
Maximum994
Range486
Interquartile range (IQR)102

Descriptive statistics

Standard deviation81.15755364
Coefficient of variation (CV)0.1071996788
Kurtosis0.0855531528
Mean757.069
Median Absolute Deviation (MAD)46
Skewness-0.4319844813
Sum1514138
Variance6586.548513
MonotonicityNot monotonic
2023-11-04T18:17:36.887669image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
785 22
 
1.1%
771 22
 
1.1%
776 21
 
1.1%
794 19
 
0.9%
795 18
 
0.9%
783 18
 
0.9%
773 17
 
0.9%
779 16
 
0.8%
769 16
 
0.8%
772 16
 
0.8%
Other values (371) 1815
90.8%
ValueCountFrequency (%)
508 1
 
0.1%
517 1
 
0.1%
523 1
 
0.1%
524 1
 
0.1%
533 3
0.1%
ValueCountFrequency (%)
994 1
0.1%
988 1
0.1%
985 1
0.1%
982 1
0.1%
971 1
0.1%

feature_174
Real number (ℝ)

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.492
Minimum0
Maximum44
Zeros12
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:37.064108image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median17
Q323
95-th percentile33
Maximum44
Range44
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.90143549
Coefficient of variation (CV)0.5088860902
Kurtosis-0.3507628308
Mean17.492
Median Absolute Deviation (MAD)6
Skewness0.2519560646
Sum34984
Variance79.23555378
MonotonicityNot monotonic
2023-11-04T18:17:37.237759image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
17 138
 
6.9%
19 118
 
5.9%
18 113
 
5.7%
16 86
 
4.3%
21 85
 
4.2%
20 83
 
4.2%
22 83
 
4.2%
15 75
 
3.8%
9 73
 
3.6%
5 62
 
3.1%
Other values (34) 1084
54.2%
ValueCountFrequency (%)
0 12
 
0.6%
1 31
1.6%
2 30
1.5%
3 31
1.6%
4 38
1.9%
ValueCountFrequency (%)
44 1
 
0.1%
42 3
 
0.1%
41 9
0.4%
40 4
0.2%
39 6
0.3%

feature_175
Real number (ℝ)

Distinct39
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.505
Minimum0
Maximum38
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:37.380966image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q116
median21
Q325
95-th percentile31
Maximum38
Range38
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.846269839
Coefficient of variation (CV)0.3338829475
Kurtosis-0.1522934201
Mean20.505
Median Absolute Deviation (MAD)5
Skewness-0.1764236915
Sum41010
Variance46.87141071
MonotonicityNot monotonic
2023-11-04T18:17:37.515158image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
21 127
 
6.3%
23 120
 
6.0%
22 111
 
5.5%
26 108
 
5.4%
19 107
 
5.3%
25 105
 
5.2%
20 103
 
5.1%
24 100
 
5.0%
17 100
 
5.0%
18 99
 
5.0%
Other values (29) 920
46.0%
ValueCountFrequency (%)
0 3
 
0.1%
1 4
 
0.2%
2 2
 
0.1%
3 8
0.4%
4 10
0.5%
ValueCountFrequency (%)
38 6
 
0.3%
37 6
 
0.3%
36 8
0.4%
35 17
0.9%
34 18
0.9%

feature_176
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.897
Minimum0
Maximum44
Zeros24
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:37.631033image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median16
Q325
95-th percentile39
Maximum44
Range44
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.58958801
Coefficient of variation (CV)0.6475715489
Kurtosis-0.770769682
Mean17.897
Median Absolute Deviation (MAD)8
Skewness0.477965612
Sum35794
Variance134.3185503
MonotonicityNot monotonic
2023-11-04T18:17:37.739832image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
18 91
 
4.5%
20 80
 
4.0%
16 77
 
3.9%
19 73
 
3.6%
9 70
 
3.5%
14 70
 
3.5%
11 69
 
3.5%
6 68
 
3.4%
1 65
 
3.2%
8 64
 
3.2%
Other values (35) 1273
63.6%
ValueCountFrequency (%)
0 24
 
1.2%
1 65
3.2%
2 54
2.7%
3 50
2.5%
4 56
2.8%
ValueCountFrequency (%)
44 3
 
0.1%
43 11
 
0.5%
42 17
0.9%
41 30
1.5%
40 34
1.7%

feature_177
Real number (ℝ)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.277
Minimum0
Maximum17
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:37.904229image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median9
Q311
95-th percentile14
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.009451678
Coefficient of variation (CV)0.3243992322
Kurtosis-0.09832404278
Mean9.277
Median Absolute Deviation (MAD)2
Skewness-0.2231365856
Sum18554
Variance9.0567994
MonotonicityNot monotonic
2023-11-04T18:17:38.282938image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9 288
14.4%
10 262
13.1%
8 234
11.7%
11 217
10.8%
7 192
9.6%
12 186
9.3%
13 129
6.5%
6 110
 
5.5%
14 95
 
4.8%
5 89
 
4.5%
Other values (8) 198
9.9%
ValueCountFrequency (%)
0 3
 
0.1%
1 11
 
0.5%
2 25
1.2%
3 34
1.7%
4 61
3.0%
ValueCountFrequency (%)
17 5
 
0.2%
16 18
 
0.9%
15 41
 
2.1%
14 95
4.8%
13 129
6.5%

feature_178
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1315
Minimum0
Maximum21
Zeros49
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:38.548478image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q312
95-th percentile18
Maximum21
Range21
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.988852782
Coefficient of variation (CV)0.5463344228
Kurtosis-0.61034882
Mean9.1315
Median Absolute Deviation (MAD)3
Skewness0.1434151842
Sum18263
Variance24.88865208
MonotonicityNot monotonic
2023-11-04T18:17:38.768223image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
11 195
 
9.8%
10 190
 
9.5%
12 165
 
8.2%
9 156
 
7.8%
5 113
 
5.7%
4 112
 
5.6%
8 110
 
5.5%
7 100
 
5.0%
13 98
 
4.9%
3 97
 
4.9%
Other values (12) 664
33.2%
ValueCountFrequency (%)
0 49
2.5%
1 83
4.2%
2 92
4.6%
3 97
4.9%
4 112
5.6%
ValueCountFrequency (%)
21 10
 
0.5%
20 29
1.5%
19 32
1.6%
18 70
3.5%
17 46
2.3%

feature_179
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7095
Minimum0
Maximum25
Zeros55
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:39.056613image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q314
95-th percentile20
Maximum25
Range25
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.871315519
Coefficient of variation (CV)0.6046980297
Kurtosis-0.6921941626
Mean9.7095
Median Absolute Deviation (MAD)4
Skewness0.3072010184
Sum19419
Variance34.47234592
MonotonicityNot monotonic
2023-11-04T18:17:39.609770image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8 172
 
8.6%
9 135
 
6.8%
10 126
 
6.3%
7 116
 
5.8%
3 113
 
5.7%
11 110
 
5.5%
2 107
 
5.3%
6 105
 
5.2%
1 101
 
5.1%
12 98
 
4.9%
Other values (16) 817
40.8%
ValueCountFrequency (%)
0 55
2.8%
1 101
5.1%
2 107
5.3%
3 113
5.7%
4 73
3.6%
ValueCountFrequency (%)
25 2
 
0.1%
24 7
 
0.4%
23 16
0.8%
22 32
1.6%
21 38
1.9%

feature_180
Real number (ℝ)

Distinct499
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean358.7025
Minimum69
Maximum674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:39.938974image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum69
5-th percentile154
Q1262
median363
Q3449
95-th percentile557.05
Maximum674
Range605
Interquartile range (IQR)187

Descriptive statistics

Standard deviation123.6842063
Coefficient of variation (CV)0.3448099924
Kurtosis-0.6937760407
Mean358.7025
Median Absolute Deviation (MAD)94
Skewness-0.02322921762
Sum717405
Variance15297.78289
MonotonicityNot monotonic
2023-11-04T18:17:40.215607image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
466 13
 
0.7%
370 13
 
0.7%
357 12
 
0.6%
437 12
 
0.6%
333 12
 
0.6%
441 11
 
0.5%
369 11
 
0.5%
280 11
 
0.5%
418 11
 
0.5%
419 10
 
0.5%
Other values (489) 1884
94.2%
ValueCountFrequency (%)
69 1
0.1%
81 2
0.1%
82 2
0.1%
84 1
0.1%
89 2
0.1%
ValueCountFrequency (%)
674 1
0.1%
670 1
0.1%
663 1
0.1%
660 1
0.1%
658 1
0.1%

feature_181
Real number (ℝ)

Distinct402
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean384.4135
Minimum87
Maximum796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:40.509492image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum87
5-th percentile239.95
Q1332.75
median384
Q3441
95-th percentile527.05
Maximum796
Range709
Interquartile range (IQR)108.25

Descriptive statistics

Standard deviation85.69700407
Coefficient of variation (CV)0.2229292261
Kurtosis0.5560275709
Mean384.4135
Median Absolute Deviation (MAD)54
Skewness-0.1157366613
Sum768827
Variance7343.976506
MonotonicityNot monotonic
2023-11-04T18:17:40.820238image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
330 16
 
0.8%
445 15
 
0.8%
342 15
 
0.8%
393 14
 
0.7%
395 14
 
0.7%
349 14
 
0.7%
414 13
 
0.7%
420 13
 
0.7%
359 13
 
0.7%
372 13
 
0.7%
Other values (392) 1860
93.0%
ValueCountFrequency (%)
87 1
0.1%
99 1
0.1%
102 1
0.1%
103 1
0.1%
113 1
0.1%
ValueCountFrequency (%)
796 1
0.1%
696 1
0.1%
638 1
0.1%
613 1
0.1%
612 2
0.1%

feature_182
Real number (ℝ)

Distinct540
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean855.6795
Minimum582
Maximum1334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:41.235998image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum582
5-th percentile655.95
Q1741
median847
Q3957
95-th percentile1090.1
Maximum1334
Range752
Interquartile range (IQR)216

Descriptive statistics

Standard deviation138.4763902
Coefficient of variation (CV)0.1618320763
Kurtosis-0.5389741078
Mean855.6795
Median Absolute Deviation (MAD)108
Skewness0.3360271024
Sum1711359
Variance19175.71064
MonotonicityNot monotonic
2023-11-04T18:17:41.521449image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
763 11
 
0.5%
907 10
 
0.5%
1006 10
 
0.5%
990 10
 
0.5%
801 10
 
0.5%
970 10
 
0.5%
757 9
 
0.4%
806 9
 
0.4%
980 9
 
0.4%
969 9
 
0.4%
Other values (530) 1903
95.2%
ValueCountFrequency (%)
582 1
0.1%
584 1
0.1%
589 1
0.1%
592 1
0.1%
595 1
0.1%
ValueCountFrequency (%)
1334 1
0.1%
1299 1
0.1%
1281 1
0.1%
1276 1
0.1%
1262 1
0.1%

feature_183
Real number (ℝ)

Distinct416
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean885.601
Minimum588
Maximum1235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:41.837464image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum588
5-th percentile698.95
Q1833
median902
Q3951
95-th percentile1016
Maximum1235
Range647
Interquartile range (IQR)118

Descriptive statistics

Standard deviation95.77817355
Coefficient of variation (CV)0.1081504803
Kurtosis0.1082947432
Mean885.601
Median Absolute Deviation (MAD)55
Skewness-0.5770720861
Sum1771202
Variance9173.458528
MonotonicityNot monotonic
2023-11-04T18:17:42.091563image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
936 20
 
1.0%
915 18
 
0.9%
939 17
 
0.9%
930 16
 
0.8%
912 15
 
0.8%
900 15
 
0.8%
895 15
 
0.8%
950 14
 
0.7%
917 14
 
0.7%
891 14
 
0.7%
Other values (406) 1842
92.1%
ValueCountFrequency (%)
588 1
0.1%
599 1
0.1%
612 1
0.1%
614 1
0.1%
616 1
0.1%
ValueCountFrequency (%)
1235 1
0.1%
1160 1
0.1%
1156 1
0.1%
1150 1
0.1%
1113 1
0.1%

feature_184
Real number (ℝ)

Distinct460
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1141.5705
Minimum700
Maximum1314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:42.412409image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum700
5-th percentile891
Q11085.75
median1181
Q31232
95-th percentile1281
Maximum1314
Range614
Interquartile range (IQR)146.25

Descriptive statistics

Standard deviation122.9416339
Coefficient of variation (CV)0.1076951743
Kurtosis0.1911310283
Mean1141.5705
Median Absolute Deviation (MAD)62
Skewness-1.036407553
Sum2283141
Variance15114.64535
MonotonicityNot monotonic
2023-11-04T18:17:42.599397image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1217 17
 
0.9%
1244 16
 
0.8%
1225 16
 
0.8%
1241 16
 
0.8%
1187 15
 
0.8%
1215 15
 
0.8%
1224 15
 
0.8%
1200 15
 
0.8%
1210 14
 
0.7%
1181 14
 
0.7%
Other values (450) 1847
92.3%
ValueCountFrequency (%)
700 1
0.1%
723 1
0.1%
727 1
0.1%
729 1
0.1%
776 1
0.1%
ValueCountFrequency (%)
1314 1
 
0.1%
1311 1
 
0.1%
1310 1
 
0.1%
1309 3
0.1%
1306 1
 
0.1%

feature_185
Real number (ℝ)

Distinct434
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean654.209
Minimum417
Maximum1061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:42.762756image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum417
5-th percentile507
Q1606
median640
Q3688
95-th percentile849
Maximum1061
Range644
Interquartile range (IQR)82

Descriptive statistics

Standard deviation92.3823228
Coefficient of variation (CV)0.1412122468
Kurtosis1.7012863
Mean654.209
Median Absolute Deviation (MAD)40
Skewness0.8630705307
Sum1308418
Variance8534.493566
MonotonicityNot monotonic
2023-11-04T18:17:42.906066image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627 20
 
1.0%
617 19
 
0.9%
639 19
 
0.9%
622 19
 
0.9%
608 19
 
0.9%
632 18
 
0.9%
629 18
 
0.9%
634 18
 
0.9%
610 17
 
0.9%
638 17
 
0.9%
Other values (424) 1816
90.8%
ValueCountFrequency (%)
417 1
0.1%
419 1
0.1%
430 1
0.1%
433 1
0.1%
437 1
0.1%
ValueCountFrequency (%)
1061 1
0.1%
1010 1
0.1%
1006 1
0.1%
993 1
0.1%
974 1
0.1%

feature_186
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.544
Minimum0
Maximum42
Zeros32
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:43.032134image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median19
Q326
95-th percentile34
Maximum42
Range42
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.05438259
Coefficient of variation (CV)0.5421906057
Kurtosis-0.9211903167
Mean18.544
Median Absolute Deviation (MAD)8
Skewness-0.0525287684
Sum37088
Variance101.0906093
MonotonicityNot monotonic
2023-11-04T18:17:43.139704image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
25 90
 
4.5%
24 88
 
4.4%
27 80
 
4.0%
9 79
 
4.0%
28 79
 
4.0%
23 74
 
3.7%
29 70
 
3.5%
15 67
 
3.4%
26 66
 
3.3%
19 63
 
3.1%
Other values (33) 1244
62.2%
ValueCountFrequency (%)
0 32
1.6%
1 47
2.4%
2 42
2.1%
3 54
2.7%
4 45
2.2%
ValueCountFrequency (%)
42 2
 
0.1%
41 4
 
0.2%
40 13
0.7%
39 15
0.8%
38 13
0.7%

feature_187
Real number (ℝ)

Distinct43
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.15
Minimum0
Maximum43
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:43.251576image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q115
median20
Q327
95-th percentile38
Maximum43
Range43
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.814269435
Coefficient of variation (CV)0.4167503279
Kurtosis-0.4037126067
Mean21.15
Median Absolute Deviation (MAD)6
Skewness0.3558412377
Sum42300
Variance77.69134567
MonotonicityNot monotonic
2023-11-04T18:17:43.451169image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
19 128
 
6.4%
17 109
 
5.5%
21 103
 
5.1%
16 95
 
4.8%
20 92
 
4.6%
22 90
 
4.5%
15 87
 
4.3%
18 84
 
4.2%
14 75
 
3.8%
24 71
 
3.5%
Other values (33) 1066
53.3%
ValueCountFrequency (%)
0 3
 
0.1%
1 9
0.4%
2 2
 
0.1%
3 5
0.2%
5 7
0.4%
ValueCountFrequency (%)
43 1
 
0.1%
42 2
 
0.1%
41 19
0.9%
40 27
1.4%
39 40
2.0%

feature_188
Real number (ℝ)

Distinct45
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.968
Minimum2
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:43.562898image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q116
median24
Q330
95-th percentile41
Maximum46
Range44
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.21778731
Coefficient of variation (CV)0.4448705727
Kurtosis-0.6233247717
Mean22.968
Median Absolute Deviation (MAD)7
Skewness-0.04913138867
Sum45936
Variance104.4031776
MonotonicityNot monotonic
2023-11-04T18:17:43.673194image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
26 85
 
4.2%
27 85
 
4.2%
25 79
 
4.0%
24 76
 
3.8%
23 75
 
3.8%
28 75
 
3.8%
30 74
 
3.7%
29 73
 
3.6%
21 70
 
3.5%
19 68
 
3.4%
Other values (35) 1240
62.0%
ValueCountFrequency (%)
2 19
0.9%
3 25
1.2%
4 41
2.1%
5 25
1.2%
6 24
1.2%
ValueCountFrequency (%)
46 3
 
0.1%
45 5
 
0.2%
44 20
1.0%
43 28
1.4%
42 37
1.8%

feature_189
Real number (ℝ)

Distinct18
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.674
Minimum0
Maximum17
Zeros6
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:43.804312image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.033715338
Coefficient of variation (CV)0.4650352015
Kurtosis-0.8843923579
Mean8.674
Median Absolute Deviation (MAD)3
Skewness-0.0922642728
Sum17348
Variance16.27085943
MonotonicityNot monotonic
2023-11-04T18:17:44.006643image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9 257
12.8%
10 212
10.6%
11 171
 
8.6%
8 141
 
7.0%
3 140
 
7.0%
12 140
 
7.0%
4 131
 
6.6%
5 127
 
6.3%
13 112
 
5.6%
14 102
 
5.1%
Other values (8) 467
23.4%
ValueCountFrequency (%)
0 6
 
0.3%
1 38
 
1.9%
2 98
4.9%
3 140
7.0%
4 131
6.6%
ValueCountFrequency (%)
17 12
 
0.6%
16 69
3.5%
15 76
3.8%
14 102
5.1%
13 112
5.6%

feature_190
Real number (ℝ)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.1325
Minimum0
Maximum24
Zeros8
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:44.232991image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median11
Q315
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.388549154
Coefficient of variation (CV)0.4840376513
Kurtosis-0.8897569812
Mean11.1325
Median Absolute Deviation (MAD)4
Skewness-0.02277445918
Sum22265
Variance29.03646198
MonotonicityNot monotonic
2023-11-04T18:17:44.424988image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
12 139
 
7.0%
10 134
 
6.7%
11 129
 
6.5%
14 129
 
6.5%
13 127
 
6.3%
16 116
 
5.8%
15 110
 
5.5%
3 108
 
5.4%
8 102
 
5.1%
4 101
 
5.1%
Other values (15) 805
40.2%
ValueCountFrequency (%)
0 8
 
0.4%
1 28
 
1.4%
2 57
2.9%
3 108
5.4%
4 101
5.1%
ValueCountFrequency (%)
24 1
 
0.1%
23 10
 
0.5%
22 20
1.0%
21 33
1.7%
20 45
2.2%

feature_191
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7835
Minimum0
Maximum24
Zeros102
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:44.628585image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median8
Q312
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.935001253
Coefficient of variation (CV)0.675698896
Kurtosis-0.6980032096
Mean8.7835
Median Absolute Deviation (MAD)4
Skewness0.3946267809
Sum17567
Variance35.22423987
MonotonicityNot monotonic
2023-11-04T18:17:44.800822image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9 179
 
8.9%
1 171
 
8.6%
8 151
 
7.5%
7 149
 
7.4%
10 139
 
7.0%
2 125
 
6.2%
11 106
 
5.3%
0 102
 
5.1%
3 89
 
4.5%
12 84
 
4.2%
Other values (15) 705
35.2%
ValueCountFrequency (%)
0 102
5.1%
1 171
8.6%
2 125
6.2%
3 89
4.5%
4 72
3.6%
ValueCountFrequency (%)
24 2
 
0.1%
23 8
 
0.4%
22 15
 
0.8%
21 35
1.8%
20 46
2.3%

feature_192
Real number (ℝ)

Distinct445
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.4145
Minimum124
Maximum673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:44.929243image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum124
5-th percentile218.95
Q1331
median396
Q3468
95-th percentile564.05
Maximum673
Range549
Interquartile range (IQR)137

Descriptive statistics

Standard deviation102.0354708
Coefficient of variation (CV)0.2573959097
Kurtosis-0.3253930698
Mean396.4145
Median Absolute Deviation (MAD)68
Skewness-0.1039068861
Sum792829
Variance10411.23731
MonotonicityNot monotonic
2023-11-04T18:17:45.072952image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389 14
 
0.7%
346 13
 
0.7%
384 13
 
0.7%
379 13
 
0.7%
362 13
 
0.7%
395 13
 
0.7%
413 12
 
0.6%
383 12
 
0.6%
365 12
 
0.6%
360 12
 
0.6%
Other values (435) 1873
93.7%
ValueCountFrequency (%)
124 1
0.1%
127 1
0.1%
129 1
0.1%
133 1
0.1%
134 1
0.1%
ValueCountFrequency (%)
673 1
0.1%
663 1
0.1%
658 1
0.1%
644 2
0.1%
643 1
0.1%

feature_193
Real number (ℝ)

Distinct517
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean435.6885
Minimum121
Maximum793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:45.194821image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum121
5-th percentile256
Q1352
median424
Q3510.25
95-th percentile654
Maximum793
Range672
Interquartile range (IQR)158.25

Descriptive statistics

Standard deviation118.8567454
Coefficient of variation (CV)0.2728021176
Kurtosis0.06422686035
Mean435.6885
Median Absolute Deviation (MAD)78
Skewness0.3497384679
Sum871377
Variance14126.92593
MonotonicityNot monotonic
2023-11-04T18:17:45.317466image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
505 14
 
0.7%
409 14
 
0.7%
481 12
 
0.6%
334 12
 
0.6%
325 12
 
0.6%
515 11
 
0.5%
403 11
 
0.5%
415 11
 
0.5%
387 11
 
0.5%
349 11
 
0.5%
Other values (507) 1881
94.0%
ValueCountFrequency (%)
121 1
0.1%
127 1
0.1%
139 1
0.1%
141 1
0.1%
142 1
0.1%
ValueCountFrequency (%)
793 1
 
0.1%
783 3
0.1%
779 1
 
0.1%
776 1
 
0.1%
774 1
 
0.1%

feature_194
Real number (ℝ)

Distinct474
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean849.6045
Minimum505
Maximum1234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:45.542154image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum505
5-th percentile672
Q1767
median848
Q3928
95-th percentile1036
Maximum1234
Range729
Interquartile range (IQR)161

Descriptive statistics

Standard deviation111.4679265
Coefficient of variation (CV)0.1311997835
Kurtosis-0.3253187949
Mean849.6045
Median Absolute Deviation (MAD)80.5
Skewness0.1237553742
Sum1699209
Variance12425.09863
MonotonicityNot monotonic
2023-11-04T18:17:45.752836image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
925 16
 
0.8%
791 14
 
0.7%
760 13
 
0.7%
953 13
 
0.7%
768 12
 
0.6%
910 12
 
0.6%
890 11
 
0.5%
899 11
 
0.5%
781 11
 
0.5%
900 11
 
0.5%
Other values (464) 1876
93.8%
ValueCountFrequency (%)
505 1
0.1%
564 1
0.1%
567 1
0.1%
572 1
0.1%
584 1
0.1%
ValueCountFrequency (%)
1234 1
0.1%
1212 1
0.1%
1200 1
0.1%
1186 1
0.1%
1171 1
0.1%

feature_195
Real number (ℝ)

Distinct458
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean821.236
Minimum601
Maximum1214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:45.955174image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum601
5-th percentile665.95
Q1730
median805.5
Q3901
95-th percentile1025
Maximum1214
Range613
Interquartile range (IQR)171

Descriptive statistics

Standard deviation112.7851921
Coefficient of variation (CV)0.1373359084
Kurtosis-0.5031355573
Mean821.236
Median Absolute Deviation (MAD)84.5
Skewness0.4574438592
Sum1642472
Variance12720.49955
MonotonicityNot monotonic
2023-11-04T18:17:46.180646image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
672 12
 
0.6%
711 12
 
0.6%
764 12
 
0.6%
782 11
 
0.5%
800 11
 
0.5%
715 11
 
0.5%
714 11
 
0.5%
729 11
 
0.5%
752 11
 
0.5%
760 11
 
0.5%
Other values (448) 1887
94.3%
ValueCountFrequency (%)
601 1
0.1%
603 1
0.1%
608 1
0.1%
613 1
0.1%
614 1
0.1%
ValueCountFrequency (%)
1214 1
0.1%
1179 1
0.1%
1177 1
0.1%
1154 1
0.1%
1151 1
0.1%

feature_196
Real number (ℝ)

Distinct255
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean632.5025
Minimum435
Maximum807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:46.410585image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum435
5-th percentile561
Q1601
median629
Q3659
95-th percentile721.1
Maximum807
Range372
Interquartile range (IQR)58

Descriptive statistics

Standard deviation48.49483342
Coefficient of variation (CV)0.07667137034
Kurtosis0.7911075336
Mean632.5025
Median Absolute Deviation (MAD)29
Skewness0.4895049803
Sum1265005
Variance2351.748868
MonotonicityNot monotonic
2023-11-04T18:17:46.726267image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
608 26
 
1.3%
616 25
 
1.2%
646 25
 
1.2%
625 23
 
1.1%
578 22
 
1.1%
610 22
 
1.1%
633 22
 
1.1%
624 22
 
1.1%
630 21
 
1.1%
621 21
 
1.1%
Other values (245) 1771
88.5%
ValueCountFrequency (%)
435 1
0.1%
464 1
0.1%
474 1
0.1%
478 1
0.1%
504 1
0.1%
ValueCountFrequency (%)
807 1
0.1%
802 1
0.1%
793 1
0.1%
789 1
0.1%
785 1
0.1%

feature_197
Real number (ℝ)

Distinct463
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1122.968
Minimum761
Maximum1317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:46.887183image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum761
5-th percentile901
Q11027
median1158
Q31223
95-th percentile1268.05
Maximum1317
Range556
Interquartile range (IQR)196

Descriptive statistics

Standard deviation120.2633552
Coefficient of variation (CV)0.1070941961
Kurtosis-0.6579901652
Mean1122.968
Median Absolute Deviation (MAD)80
Skewness-0.6449525382
Sum2245936
Variance14463.27461
MonotonicityNot monotonic
2023-11-04T18:17:47.046459image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1227 20
 
1.0%
1197 16
 
0.8%
1223 15
 
0.8%
1199 15
 
0.8%
1222 14
 
0.7%
1190 14
 
0.7%
1209 14
 
0.7%
1235 14
 
0.7%
1208 14
 
0.7%
1248 13
 
0.7%
Other values (453) 1851
92.5%
ValueCountFrequency (%)
761 1
0.1%
784 1
0.1%
796 1
0.1%
799 1
0.1%
805 2
0.1%
ValueCountFrequency (%)
1317 1
0.1%
1312 1
0.1%
1310 1
0.1%
1304 1
0.1%
1302 2
0.1%

feature_198
Real number (ℝ)

Distinct46
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.421
Minimum2
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:47.166791image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q115
median26
Q334
95-th percentile42
Maximum48
Range46
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.63668618
Coefficient of variation (CV)0.4765032627
Kurtosis-1.081354573
Mean24.421
Median Absolute Deviation (MAD)9
Skewness-0.1243818179
Sum48842
Variance135.4124652
MonotonicityNot monotonic
2023-11-04T18:17:47.286954image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
30 73
 
3.6%
31 65
 
3.2%
42 65
 
3.2%
34 64
 
3.2%
33 62
 
3.1%
28 61
 
3.0%
26 60
 
3.0%
29 59
 
2.9%
8 58
 
2.9%
23 58
 
2.9%
Other values (36) 1375
68.8%
ValueCountFrequency (%)
2 7
 
0.4%
3 26
1.3%
4 36
1.8%
5 38
1.9%
6 44
2.2%
ValueCountFrequency (%)
48 1
 
0.1%
46 4
 
0.2%
45 6
 
0.3%
44 32
1.6%
43 43
2.1%

feature_199
Real number (ℝ)

Distinct41
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.72
Minimum2
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:47.398374image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q115
median21
Q328
95-th percentile38
Maximum42
Range40
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.886173645
Coefficient of variation (CV)0.4091240168
Kurtosis-0.7026284975
Mean21.72
Median Absolute Deviation (MAD)6
Skewness0.227929386
Sum43440
Variance78.96408204
MonotonicityNot monotonic
2023-11-04T18:17:47.514594image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20 104
 
5.2%
16 104
 
5.2%
17 90
 
4.5%
18 87
 
4.3%
23 84
 
4.2%
22 84
 
4.2%
19 83
 
4.2%
15 81
 
4.0%
14 78
 
3.9%
21 74
 
3.7%
Other values (31) 1131
56.5%
ValueCountFrequency (%)
2 1
 
0.1%
3 2
 
0.1%
4 4
 
0.2%
5 7
 
0.4%
6 33
1.7%
ValueCountFrequency (%)
42 4
 
0.2%
41 6
 
0.3%
40 24
1.2%
39 31
1.6%
38 43
2.1%

feature_200
Real number (ℝ)

Distinct44
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.619
Minimum0
Maximum43
Zeros16
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:47.769307image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median22
Q330
95-th percentile37
Maximum43
Range43
Interquartile range (IQR)19

Descriptive statistics

Standard deviation10.85042418
Coefficient of variation (CV)0.5262342586
Kurtosis-1.06706285
Mean20.619
Median Absolute Deviation (MAD)9
Skewness-0.1020409637
Sum41238
Variance117.7317049
MonotonicityNot monotonic
2023-11-04T18:17:48.096575image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
26 88
 
4.4%
30 85
 
4.2%
9 70
 
3.5%
8 67
 
3.4%
29 67
 
3.4%
31 66
 
3.3%
25 66
 
3.3%
32 64
 
3.2%
24 61
 
3.0%
22 58
 
2.9%
Other values (34) 1308
65.4%
ValueCountFrequency (%)
0 16
 
0.8%
1 45
2.2%
2 33
1.7%
3 32
1.6%
4 42
2.1%
ValueCountFrequency (%)
43 1
 
0.1%
42 4
 
0.2%
41 11
 
0.5%
40 19
0.9%
39 32
1.6%

feature_201
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.115
Minimum0
Maximum25
Zeros41
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:48.393308image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median10
Q313
95-th percentile18
Maximum25
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.113398911
Coefficient of variation (CV)0.5055263382
Kurtosis-0.5144771984
Mean10.115
Median Absolute Deviation (MAD)3
Skewness-0.08475487861
Sum20230
Variance26.14684842
MonotonicityNot monotonic
2023-11-04T18:17:48.651693image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10 187
 
9.3%
9 181
 
9.0%
11 169
 
8.5%
12 156
 
7.8%
8 149
 
7.4%
13 136
 
6.8%
17 95
 
4.8%
14 92
 
4.6%
16 91
 
4.5%
1 89
 
4.5%
Other values (15) 655
32.8%
ValueCountFrequency (%)
0 41
2.1%
1 89
4.5%
2 88
4.4%
3 83
4.2%
4 57
2.9%
ValueCountFrequency (%)
25 1
 
0.1%
23 6
 
0.3%
22 10
0.5%
21 15
0.8%
20 18
0.9%

feature_202
Real number (ℝ)

Distinct25
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.9015
Minimum0
Maximum24
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:48.916924image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median13
Q316
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.462931394
Coefficient of variation (CV)0.3459234503
Kurtosis-0.1654097147
Mean12.9015
Median Absolute Deviation (MAD)3
Skewness-0.345520296
Sum25803
Variance19.91775663
MonotonicityNot monotonic
2023-11-04T18:17:49.207674image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
15 200
 
10.0%
13 179
 
8.9%
14 175
 
8.8%
12 158
 
7.9%
16 158
 
7.9%
10 147
 
7.3%
11 141
 
7.0%
17 128
 
6.4%
9 104
 
5.2%
18 102
 
5.1%
Other values (15) 508
25.4%
ValueCountFrequency (%)
0 1
 
0.1%
1 6
 
0.3%
2 28
1.4%
3 29
1.5%
4 54
2.7%
ValueCountFrequency (%)
24 1
 
0.1%
23 10
 
0.5%
22 19
 
0.9%
21 34
1.7%
20 50
2.5%

feature_203
Real number (ℝ)

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0045
Minimum0
Maximum18
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:49.490605image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q311
95-th percentile14
Maximum18
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.567329908
Coefficient of variation (CV)0.3961719038
Kurtosis-0.6158378191
Mean9.0045
Median Absolute Deviation (MAD)2
Skewness-0.3528677093
Sum18009
Variance12.72584267
MonotonicityNot monotonic
2023-11-04T18:17:49.765942image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 261
13.1%
9 258
12.9%
11 251
12.6%
12 173
8.6%
8 166
8.3%
13 148
7.4%
5 123
6.2%
4 120
 
6.0%
3 107
 
5.3%
14 93
 
4.7%
Other values (9) 300
15.0%
ValueCountFrequency (%)
0 3
 
0.1%
1 19
 
0.9%
2 64
3.2%
3 107
5.3%
4 120
6.0%
ValueCountFrequency (%)
18 3
 
0.1%
17 3
 
0.1%
16 19
 
0.9%
15 58
2.9%
14 93
4.7%

feature_204
Real number (ℝ)

Distinct303
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345.1185
Minimum144
Maximum534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:50.058412image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum144
5-th percentile236
Q1298
median348.5
Q3392
95-th percentile449
Maximum534
Range390
Interquartile range (IQR)94

Descriptive statistics

Standard deviation64.94422479
Coefficient of variation (CV)0.1881794943
Kurtosis-0.4406994273
Mean345.1185
Median Absolute Deviation (MAD)47.5
Skewness-0.1181510906
Sum690237
Variance4217.752334
MonotonicityNot monotonic
2023-11-04T18:17:50.440250image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
386 19
 
0.9%
371 19
 
0.9%
318 18
 
0.9%
350 18
 
0.9%
390 16
 
0.8%
401 16
 
0.8%
433 15
 
0.8%
298 15
 
0.8%
331 15
 
0.8%
379 15
 
0.8%
Other values (293) 1834
91.7%
ValueCountFrequency (%)
144 1
0.1%
154 1
0.1%
165 1
0.1%
166 1
0.1%
173 1
0.1%
ValueCountFrequency (%)
534 1
0.1%
512 1
0.1%
506 1
0.1%
505 2
0.1%
498 1
0.1%

feature_205
Real number (ℝ)

Distinct330
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean320.7825
Minimum145
Maximum565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:50.776579image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile225
Q1270
median310
Q3366
95-th percentile447
Maximum565
Range420
Interquartile range (IQR)96

Descriptive statistics

Standard deviation69.48709536
Coefficient of variation (CV)0.2166174756
Kurtosis0.05301534958
Mean320.7825
Median Absolute Deviation (MAD)46
Skewness0.576572041
Sum641565
Variance4828.456422
MonotonicityNot monotonic
2023-11-04T18:17:51.107390image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
296 22
 
1.1%
287 21
 
1.1%
277 18
 
0.9%
252 17
 
0.9%
313 16
 
0.8%
330 16
 
0.8%
280 16
 
0.8%
320 16
 
0.8%
283 16
 
0.8%
288 15
 
0.8%
Other values (320) 1827
91.3%
ValueCountFrequency (%)
145 1
0.1%
152 1
0.1%
170 1
0.1%
172 1
0.1%
173 1
0.1%
ValueCountFrequency (%)
565 1
0.1%
557 1
0.1%
556 1
0.1%
550 1
0.1%
548 1
0.1%

feature_206
Real number (ℝ)

Distinct550
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean727.2215
Minimum445
Maximum1211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:51.658623image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum445
5-th percentile517
Q1608.75
median725
Q3836
95-th percentile971
Maximum1211
Range766
Interquartile range (IQR)227.25

Descriptive statistics

Standard deviation144.1962576
Coefficient of variation (CV)0.1982838209
Kurtosis-0.6892873056
Mean727.2215
Median Absolute Deviation (MAD)114
Skewness0.2318632364
Sum1454443
Variance20792.56072
MonotonicityNot monotonic
2023-11-04T18:17:51.967091image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
845 14
 
0.7%
815 12
 
0.6%
535 11
 
0.5%
641 11
 
0.5%
775 11
 
0.5%
616 11
 
0.5%
676 9
 
0.4%
765 9
 
0.4%
529 9
 
0.4%
687 9
 
0.4%
Other values (540) 1894
94.7%
ValueCountFrequency (%)
445 1
 
0.1%
452 1
 
0.1%
453 1
 
0.1%
457 2
0.1%
458 3
0.1%
ValueCountFrequency (%)
1211 1
0.1%
1166 1
0.1%
1151 1
0.1%
1147 1
0.1%
1140 1
0.1%

feature_207
Real number (ℝ)

Distinct472
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean642.191
Minimum425
Maximum1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:52.201959image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum425
5-th percentile478
Q1546
median626.5
Q3724.25
95-th percentile861.05
Maximum1012
Range587
Interquartile range (IQR)178.25

Descriptive statistics

Standard deviation118.5593045
Coefficient of variation (CV)0.1846168888
Kurtosis-0.4252837791
Mean642.191
Median Absolute Deviation (MAD)86.5
Skewness0.5212766167
Sum1284382
Variance14056.30867
MonotonicityNot monotonic
2023-11-04T18:17:52.368557image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
528 14
 
0.7%
498 13
 
0.7%
652 12
 
0.6%
586 11
 
0.5%
671 11
 
0.5%
544 11
 
0.5%
590 10
 
0.5%
705 10
 
0.5%
631 10
 
0.5%
558 10
 
0.5%
Other values (462) 1888
94.4%
ValueCountFrequency (%)
425 1
0.1%
430 1
0.1%
432 1
0.1%
434 1
0.1%
437 1
0.1%
ValueCountFrequency (%)
1012 1
0.1%
1000 1
0.1%
992 2
0.1%
983 1
0.1%
979 2
0.1%

feature_208
Real number (ℝ)

Distinct292
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean641.2145
Minimum427
Maximum853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:52.530996image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum427
5-th percentile551
Q1606
median641
Q3673
95-th percentile738
Maximum853
Range426
Interquartile range (IQR)67

Descriptive statistics

Standard deviation56.58565594
Coefficient of variation (CV)0.08824762375
Kurtosis0.8574849759
Mean641.2145
Median Absolute Deviation (MAD)34
Skewness0.2479780792
Sum1282429
Variance3201.936458
MonotonicityNot monotonic
2023-11-04T18:17:52.678579image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
649 22
 
1.1%
631 22
 
1.1%
653 21
 
1.1%
673 21
 
1.1%
671 21
 
1.1%
666 21
 
1.1%
613 20
 
1.0%
635 20
 
1.0%
655 20
 
1.0%
641 20
 
1.0%
Other values (282) 1792
89.6%
ValueCountFrequency (%)
427 1
0.1%
450 1
0.1%
463 1
0.1%
467 1
0.1%
483 1
0.1%
ValueCountFrequency (%)
853 1
0.1%
846 1
0.1%
844 2
0.1%
836 1
0.1%
834 2
0.1%

feature_209
Real number (ℝ)

Distinct391
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean687.381
Minimum461
Maximum1049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:52.785657image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum461
5-th percentile554.95
Q1638
median682
Q3735
95-th percentile833.1
Maximum1049
Range588
Interquartile range (IQR)97

Descriptive statistics

Standard deviation82.72577964
Coefficient of variation (CV)0.1203492381
Kurtosis0.8682500297
Mean687.381
Median Absolute Deviation (MAD)48
Skewness0.4669993047
Sum1374762
Variance6843.554616
MonotonicityNot monotonic
2023-11-04T18:17:52.898896image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
678 24
 
1.2%
679 19
 
0.9%
655 19
 
0.9%
687 19
 
0.9%
682 16
 
0.8%
686 16
 
0.8%
672 16
 
0.8%
643 16
 
0.8%
658 15
 
0.8%
692 15
 
0.8%
Other values (381) 1825
91.2%
ValueCountFrequency (%)
461 1
0.1%
462 1
0.1%
467 1
0.1%
470 1
0.1%
475 1
0.1%
ValueCountFrequency (%)
1049 1
0.1%
1013 1
0.1%
1002 1
0.1%
986 1
0.1%
976 1
0.1%

feature_210
Real number (ℝ)

Distinct30
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.766
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:53.003605image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q114
median18
Q322
95-th percentile27
Maximum30
Range29
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.236119983
Coefficient of variation (CV)0.2947270057
Kurtosis-0.1721908436
Mean17.766
Median Absolute Deviation (MAD)4
Skewness-0.1573085565
Sum35532
Variance27.41695248
MonotonicityNot monotonic
2023-11-04T18:17:53.110076image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
16 175
 
8.8%
18 150
 
7.5%
14 139
 
7.0%
17 135
 
6.8%
13 130
 
6.5%
20 127
 
6.3%
15 125
 
6.2%
19 120
 
6.0%
21 116
 
5.8%
23 107
 
5.3%
Other values (20) 676
33.8%
ValueCountFrequency (%)
1 1
 
0.1%
2 2
 
0.1%
3 7
0.4%
4 11
0.5%
5 12
0.6%
ValueCountFrequency (%)
30 1
 
0.1%
29 13
 
0.7%
28 44
2.2%
27 45
2.2%
26 46
2.3%

feature_211
Real number (ℝ)

Distinct38
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.584
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:53.222412image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q116
median23
Q327
95-th percentile35
Maximum38
Range37
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.982343196
Coefficient of variation (CV)0.3698268716
Kurtosis-0.6468428779
Mean21.584
Median Absolute Deviation (MAD)5
Skewness-0.243130468
Sum43168
Variance63.7178029
MonotonicityNot monotonic
2023-11-04T18:17:53.366803image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
24 132
 
6.6%
26 109
 
5.5%
28 107
 
5.3%
25 104
 
5.2%
27 103
 
5.1%
22 97
 
4.9%
23 88
 
4.4%
29 76
 
3.8%
21 72
 
3.6%
20 69
 
3.5%
Other values (28) 1043
52.1%
ValueCountFrequency (%)
1 6
0.3%
2 7
0.4%
3 6
0.3%
4 7
0.4%
5 12
0.6%
ValueCountFrequency (%)
38 1
 
0.1%
37 11
 
0.5%
36 38
1.9%
35 59
2.9%
34 54
2.7%

feature_212
Real number (ℝ)

Distinct36
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.612
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:53.618284image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q113
median18
Q321
95-th percentile28
Maximum36
Range35
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.884451494
Coefficient of variation (CV)0.3341160285
Kurtosis0.1560172036
Mean17.612
Median Absolute Deviation (MAD)4
Skewness0.2905954943
Sum35224
Variance34.62676938
MonotonicityNot monotonic
2023-11-04T18:17:53.837130image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
18 173
 
8.6%
19 170
 
8.5%
20 139
 
7.0%
21 134
 
6.7%
16 109
 
5.5%
17 106
 
5.3%
15 102
 
5.1%
14 97
 
4.9%
13 95
 
4.8%
12 94
 
4.7%
Other values (26) 781
39.1%
ValueCountFrequency (%)
1 1
 
0.1%
2 1
 
0.1%
3 3
 
0.1%
4 2
 
0.1%
5 10
0.5%
ValueCountFrequency (%)
36 1
 
0.1%
35 10
0.5%
34 17
0.9%
33 9
0.4%
32 13
0.7%

feature_213
Real number (ℝ)

Distinct15
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.968
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:54.014142image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q110
median12
Q314
95-th percentile16
Maximum18
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.579787521
Coefficient of variation (CV)0.2155571124
Kurtosis-0.7458463478
Mean11.968
Median Absolute Deviation (MAD)2
Skewness0.07528338193
Sum23936
Variance6.655303652
MonotonicityNot monotonic
2023-11-04T18:17:54.230149image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
10 294
14.7%
11 266
13.3%
12 248
12.4%
13 226
11.3%
9 208
10.4%
14 197
9.8%
15 193
9.7%
16 154
7.7%
8 96
 
4.8%
7 50
 
2.5%
Other values (5) 68
 
3.4%
ValueCountFrequency (%)
4 2
 
0.1%
5 2
 
0.1%
6 6
 
0.3%
7 50
2.5%
8 96
4.8%
ValueCountFrequency (%)
18 9
 
0.4%
17 49
 
2.5%
16 154
7.7%
15 193
9.7%
14 197
9.8%

feature_214
Real number (ℝ)

Distinct15
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.7045
Minimum5
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:54.365726image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q112
median14
Q315
95-th percentile17
Maximum19
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.985485035
Coefficient of variation (CV)0.1448783272
Kurtosis-0.03258890092
Mean13.7045
Median Absolute Deviation (MAD)1
Skewness-0.3437759433
Sum27409
Variance3.942150825
MonotonicityNot monotonic
2023-11-04T18:17:54.486448image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
14 376
18.8%
13 350
17.5%
15 344
17.2%
12 266
13.3%
16 239
11.9%
11 156
7.8%
17 143
 
7.1%
10 79
 
4.0%
9 25
 
1.2%
18 8
 
0.4%
Other values (5) 14
 
0.7%
ValueCountFrequency (%)
5 1
 
0.1%
6 2
 
0.1%
7 3
 
0.1%
8 7
 
0.4%
9 25
1.2%
ValueCountFrequency (%)
19 1
 
0.1%
18 8
 
0.4%
17 143
7.1%
16 239
11.9%
15 344
17.2%

feature_215
Real number (ℝ)

Distinct24
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.4525
Minimum0
Maximum23
Zeros18
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:54.597796image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median15
Q317
95-th percentile19
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.637186162
Coefficient of variation (CV)0.3447081332
Kurtosis0.6063175886
Mean13.4525
Median Absolute Deviation (MAD)3
Skewness-1.056880392
Sum26905
Variance21.5034955
MonotonicityNot monotonic
2023-11-04T18:17:54.694088image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
17 257
12.8%
16 242
12.1%
18 198
9.9%
15 191
9.6%
13 161
8.1%
14 126
 
6.3%
12 118
 
5.9%
11 117
 
5.9%
19 110
 
5.5%
10 105
 
5.2%
Other values (14) 375
18.8%
ValueCountFrequency (%)
0 18
0.9%
1 36
1.8%
2 37
1.8%
3 34
1.7%
4 27
1.4%
ValueCountFrequency (%)
23 1
 
0.1%
22 1
 
0.1%
21 6
 
0.3%
20 31
 
1.6%
19 110
5.5%

feature_label
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros200
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size15.8 KiB
2023-11-04T18:17:54.781511image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.872999663
Coefficient of variation (CV)0.6384443696
Kurtosis-1.224302538
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum9000
Variance8.254127064
MonotonicityIncreasing
2023-11-04T18:17:54.863693image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 200
10.0%
1 200
10.0%
2 200
10.0%
3 200
10.0%
4 200
10.0%
5 200
10.0%
6 200
10.0%
7 200
10.0%
8 200
10.0%
9 200
10.0%
ValueCountFrequency (%)
0 200
10.0%
1 200
10.0%
2 200
10.0%
3 200
10.0%
4 200
10.0%
ValueCountFrequency (%)
9 200
10.0%
8 200
10.0%
7 200
10.0%
6 200
10.0%
5 200
10.0%